Process mining: Discovery, conformance and enhancement of business processes, pp.1-352, 2011. ,
A framework for mining meaningful usage patterns within a semantically enhanced web portal, Proceedings of the Third C* Conference on Computer Science and Software Engineering, C3S2E '10, pp.138-147, 2010. ,
DOI : 10.1145/1822327.1822347
URL : https://hal.archives-ouvertes.fr/hal-00812300
Frequent Pattern Mining Algorithms: A Survey, pp.19-64, 2014. ,
DOI : 10.1007/978-3-319-07821-2_2
Database mining: a performance perspective, IEEE Transactions on Knowledge and Data Engineering, vol.5, issue.6, pp.914-925, 1993. ,
DOI : 10.1109/69.250074
Fast algorithms for mining association rules, Proc. 20th int. conf. very large data bases, VLDB, pp.487-499, 1994. ,
Computational Derivation of Structural Alerts from Large Toxicology Data Sets, Journal of Chemical Information and Modeling, vol.54, issue.10, pp.2945-2952, 2014. ,
DOI : 10.1021/ci500314a
Mining Definitions from RDF Annotations Using Formal Concept Analysis, Proc. Twenty-Fourth Int. Jt. Conf. Artif. Intell. IJCAI 2015, pp.823-829, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01186204
An Improved Bacterial Test System for the Detection and Classification of Mutagens and Carcinogens, Proc. Natl, 1973. ,
DOI : 10.1073/pnas.70.3.782
Definitive relationships among chemical structure, carcinogenicity and mutagenicity for 301 chemicals tested by the U.S. NTP, Mutation Research/Reviews in Genetic Toxicology, vol.257, issue.3, pp.229-306, 1991. ,
DOI : 10.1016/0165-1110(91)90003-E
A Hybrid Classification Approach based on FCA and Emerging Patterns-An application for the classification of biological inhibitors, Proc. 9th Int. Conf. Concept Lattices Their Appl. Pp, pp.211-222, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-00761586
Analysis of c-Met Kinase Domain Complexes: A New Specific Catalytic Site Receptor Model for Defining Binding Modes of ATP-Competitive Ligands, Chemical Biology & Drug Design, vol.1697, issue.6, pp.560-570, 2009. ,
DOI : 10.1111/j.1747-0285.2009.00895.x
URL : https://hal.archives-ouvertes.fr/hal-00507523
Exploring c-Met kinase flexibility by sampling and clustering its conformational space, Proteins: Structure, Function, and Bioinformatics, vol.51, issue.4, pp.1227-1238, 2012. ,
DOI : 10.1002/prot.24021
Emerging Chemical Patterns:?? A New Methodology for Molecular Classification and Compound Selection, Journal of Chemical Information and Modeling, vol.46, issue.6, pp.2502-2514, 2006. ,
DOI : 10.1021/ci600301t
Sequential PAttern mining using a bitmap representation, Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '02, pp.429-435, 2002. ,
DOI : 10.1145/775047.775109
Comparing Rule Measures for Predictive Association Rules, Mach. Learn. ECML Lecture Notes in Computer Science, vol.4701, pp.510-517, 2007. ,
DOI : 10.1007/978-3-540-74958-5_47
Approximating Concept Stability, Ed. by Florent Domenach, DmitryI. Ignatov, and Jonas Poelmans. Lecture Notes in Computer Science, vol.7278, pp.7-15, 2012. ,
DOI : 10.1007/978-3-642-29892-9_7
Intersection Algorithms and a Closure Operator on Unordered Trees, p.1, 2006. ,
Ordre et classification algèbre et combinatoirs, 1970. ,
Fuzzy Galois Connections, Math. Log. Q. 45.4, pp.497-504, 1999. ,
DOI : 10.1002/malq.19990450408
Formal Concept Analysis Constrained by Attribute-Dependency Formulas, Lecture Notes in Computer Science, vol.3403, pp.176-191, 2005. ,
DOI : 10.1007/978-3-540-32262-7_12
Basic Level in Formal Concept Analysis: Interesting Concepts and Psychological Ramifications, Proc. Twenty-Third Int. Jt. Conf, 2013. ,
Formal Concept Analysis With Background Knowledge: Attribute Priorities, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), vol.39, issue.4, pp.399-409, 2009. ,
DOI : 10.1109/TSMCC.2008.2012168
Formal Concept Analysis with Constraints by Closure Operators, Lecture Notes in Computer Science, vol.4068, issue.1, pp.131-143, 2006. ,
DOI : 10.1007/11787181_10
The Benigni/Bossa Rulebase for Mutagenicity and Carcinogenicity ? a Module of Toxtree, JRC Sci. Tech. Reports, pp.1-70, 2008. ,
Mechanisms of Chemical Carcinogenicity and Mutagenicity: A Review with Implications for Predictive Toxicology, Chemical Reviews, vol.111, issue.4, pp.2507-2536, 2011. ,
DOI : 10.1021/cr100222q
Semantics made by you and me: Self-emerging ontologies can capture the diversity of shared knowledge, Proceedings of the 2nd Web Science Conference, 2010. ,
Constraint-Based Mining of Fault-Tolerant Patterns from Boolean Data, Knowl. Discov. Inductive Databases, pp.55-71, 2006. ,
DOI : 10.1007/978-94-009-7798-3_15
Mining Formal Concepts with a Bounded Number of Exceptions from Transactional Data, Bart Goethals and Arno Siebes. Lecture Notes in Computer Science, vol.3377, pp.33-45, 2005. ,
DOI : 10.1007/978-3-540-31841-5_3
On the Stimulation of Patterns -Definitions, Calculation Method and First Usages, 18th Int. Conf. Concept. Struct. ICCS 2010, Proc. Pp, pp.56-69, 2010. ,
URL : https://hal.archives-ouvertes.fr/hal-01016911
Linked Data - The Story So Far, International Journal on Semantic Web and Information Systems, vol.5, issue.3, pp.1-22, 2009. ,
DOI : 10.4018/jswis.2009081901
Drug-drug interaction extraction from biomedical texts with svm and rls classifiers, Proceedings of DDIExtraction-2011 challenge task, pp.35-42, 2011. ,
Toxicology analysis by means of the JSM-method, Bioinformatics, vol.19, issue.10, pp.1201-1207, 2003. ,
DOI : 10.1093/bioinformatics/btg096
Minimization of Boolean Partial Functions with a Large Number of "Don't Care" Conditions and the Problem of Feature Extraction, Proc. Int. Symp. "Discrete Syst, pp.101-109, 1974. ,
Listing closed sets of strongly accessible set systems with applications to data mining, Theor. Comput. Sci. 411.3, pp.691-700, 2010. ,
DOI : 10.1016/j.tcs.2009.10.024
Combining Ring Extensions and Canonical Form Pruning, Work. Min. Learn. with Graphs, pp.109-116, 2006. ,
Mining molecular fragments: finding relevant substructures of molecules, 2002 IEEE International Conference on Data Mining, 2002. Proceedings., pp.51-58, 2002. ,
DOI : 10.1109/ICDM.2002.1183885
Approximation of Frequency Queries by Means of Free-Sets, In: Princ. Data Min. Knowl. Discov Lecture Notes in Computer Science, pp.75-85, 1910. ,
DOI : 10.1007/3-540-45372-5_8
MAFIA: a maximal frequent itemset algorithm for transactional databases, Proceedings 17th International Conference on Data Engineering, pp.443-452, 2001. ,
DOI : 10.1109/ICDE.2001.914857
FCA and pattern structures for mining care trajectories, Work. Notes FCA4AI, pp.7-14, 2013. ,
URL : https://hal.archives-ouvertes.fr/hal-00910290
Concept Stability as a Tool for Pattern Selection, Work. Notes FCA4AI, pp.51-58, 2014. ,
URL : https://hal.archives-ouvertes.fr/hal-01095903
Fast Generation of Best Interval Patterns for Nonmonotonic Constraints, Mach. Learn. Knowl. Discov. Databases, 2015. ,
DOI : 10.1007/978-3-319-23525-7_10
URL : https://hal.archives-ouvertes.fr/hal-01186718
Mining All Non-derivable Frequent Itemsets, Data Min. Knowl. Discov. Ed. by Tapio Elomaa, Heikki Mannila, and Hannu Toivonen. Lecture Notes in Computer Science, vol.2431, pp.74-86, 2002. ,
DOI : 10.1007/3-540-45681-3_7
URL : http://arxiv.org/abs/cs/0206004
A Survey on Condensed Representations for Frequent Sets, Lecture Notes in Computer Science, vol.3848, pp.64-80, 2006. ,
DOI : 10.1007/11615576_4
Scaling up cosine interesting pattern discovery: A depth-first method, Information Sciences, vol.266, pp.31-46, 2014. ,
DOI : 10.1016/j.ins.2013.12.062
Atom pairs as molecular features in structure-activity studies: definition and applications, Journal of Chemical Information and Modeling, vol.25, issue.2, 1985. ,
DOI : 10.1021/ci00046a002
Evaluating the Correlation Between Objective Rule Interestingness Measures and Real Human Interest, In: Knowl. Discov. Databases PKDD Lecture Notes in Computer Science, vol.3721, pp.453-461, 2005. ,
DOI : 10.1007/11564126_45
Summarizing Sequential Data with Closed Partial Orders, Proc. 5th SIAM Int'l Conf. Data Min, 2005. ,
DOI : 10.1137/1.9781611972757.34
A PARAMETERIZED ALGORITHM TO EXPLORE FORMAL CONTEXTS WITH A TAXONOMY, International Journal of Foundations of Computer Science, vol.19, issue.02, pp.2-319, 2008. ,
DOI : 10.1142/S012905410800570X
URL : https://hal.archives-ouvertes.fr/inria-00363594
An Efficient Algorithm for Mining Frequent Sequences by a New Strategy without Support Counting, pp.375-386, 2004. ,
Two different machine learning techniques for drug-drug interaction extraction, Challenge Task on Drug-Drug Interaction Extraction, pp.19-26, 2011. ,
Drug-drug interaction extraction using composite kernels, Challenge Task on Drug-Drug Interaction Extraction, pp.27-33, 2011. ,
A Proposition for Combining Pattern Structures and Relational Concept Analysis, 12th International Conference on Formal Concept Anal- ysis, 2014. ,
DOI : 10.1007/978-3-319-07248-7_8
URL : https://hal.archives-ouvertes.fr/hal-01095870
The LUCS-KDD Discretised and normalised ARM and CARM Data Library 25, 2003. ,
REACH: Registration, Evaluation, Authorisation and Restriction of Chemicals, 2007. ,
Substructure discovery using minimum description length and background knowledge, J. Artif. Intell. Res, vol.1, pp.231-255, 1994. ,
New structural alerts for Ames mutagenicity discovered using emerging pattern mining techniques, Toxicol. Res., vol.539, issue.1, pp.46-56, 2015. ,
DOI : 10.1039/C4TX00071D
Using Pattern Structures for Analyzing Ontology-Based Annotations of Biomedical Data, Lecture Notes in Computer Science, vol.7880, pp.76-91, 2013. ,
DOI : 10.1007/978-3-642-38317-5_5
URL : https://hal.archives-ouvertes.fr/hal-00922392
Emerging Patterns as Structural Alerts for Computational Toxicology, Alban Lepailleur, and Ronan Bureau, pp.269-282, 2013. ,
DOI : 10.1201/b12986-25
URL : https://hal.archives-ouvertes.fr/hal-01024000
Frequent substructure-based approaches for classifying chemical compounds, IEEE Transactions on Knowledge and Data Engineering, vol.17, issue.8, pp.1036-1050, 2005. ,
DOI : 10.1109/TKDE.2005.127
Topological Indices and Related Descrip-tors in QSAR and QSPR, 1999. ,
Applying the JBOS reduction method for relevant knowledge extraction, Expert Systems with Applications, vol.40, issue.5, pp.1880-1887, 2013. ,
DOI : 10.1016/j.eswa.2012.10.010
Efficient Mining of Closed Repetitive Gapped Subsequences from a Sequence Database, 2009 IEEE 25th International Conference on Data Engineering, pp.1024-1035, 2009. ,
DOI : 10.1109/ICDE.2009.104
Contrast Data Mining: Concepts, Algorithms, and Applications, 2013. ,
Efficient mining of emerging patterns, Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '99, pp.43-52, 1999. ,
DOI : 10.1145/312129.312191
c-Met inhibitors with different binding modes: Two is better than one, Cell Cycle, vol.7, issue.9, pp.1157-1160, 2008. ,
DOI : 10.4161/cc.7.9.5827
Discovery of a Novel Mode of Protein Kinase Inhibition Characterized by the Mechanism of Inhibition of Human Mesenchymal-epithelial Transition Factor (c-Met) Protein Autophosphorylation by ARQ 197, Journal of Biological Chemistry, vol.286, issue.23, pp.20666-20676, 2011. ,
DOI : 10.1074/jbc.M110.213801
A contribution to the discovery of multidimensional patterns in healthcare trajectories, Maguelonne Teisseire, and Amedeo Napoli, pp.283-305, 2014. ,
DOI : 10.1007/s10844-014-0309-4
URL : https://hal.archives-ouvertes.fr/hal-01094377
Mining Heterogeneous Multidimensional Sequential Patterns, ECAI 2014 -21st Eur. Conf. Artif. Intell. Pp, pp.279-284, 2014. ,
URL : https://hal.archives-ouvertes.fr/hal-01094365
The signature molecular descriptor. 2. Enumerating molecules from their extended valence sequences, In: J. Chem. Inf. Comput, 2003. ,
The Signature Molecular Descriptor. 1. Using Extended Valence Sequences in QSAR and QSPR Studies, Journal of Chemical Information and Computer Sciences, vol.43, issue.3, pp.707-720, 2003. ,
DOI : 10.1021/ci020345w
From data mining to knowledge discovery in databases, p.37, 1996. ,
Genetic Toxicity, Reproductive and Developmental Toxicity, and Carcinogenicity Database ,
Predictive Toxicology:??? Benchmarking Molecular Descriptors and Statistical Methods, Journal of Chemical Information and Computer Sciences, vol.43, issue.5, pp.1463-1470, 2003. ,
DOI : 10.1021/ci034032s
The Efficient Computation of Complete and Concise Substring Scales with Suffix Trees, Lecture Notes in Computer Science, vol.4390, pp.98-113, 2007. ,
DOI : 10.1007/978-3-540-70901-5_7
The Use of Associative Concepts in the Incremental Building of a Logical Context, Lecture Notes in Computer Science, vol.2393, pp.299-313, 2002. ,
DOI : 10.1007/3-540-45483-7_23
Case mix definition by diagnosis-related groups, In: Med Care, vol.18, issue.2, pp.1-53, 1980. ,
Plausible reasoning in systems of JSM type, Itogi Nauk. i Tekhniki, Seriya Inform. 15, pp.54-101, 1991. ,
UCI Machine Learning Repository, 2010. ,
Swiqa -a semantic web information quality assessment framework, 19th European Conference on Information Systems, 2011. ,
Finding Maximal Common Sub-parse Thickets for Multi-sentence Search, In: Graph Struct. Knowl. Represent . Reason. Ed. by Madalina Croitoru Lecture Notes in Computer Science, vol.8323, pp.39-57, 2014. ,
DOI : 10.1007/978-3-319-04534-4_4
Parse Thicket Representation for Multi-sentence Search, Concept. Struct. STEM Res. Educ. Ed. by HeatherD. Pfeiffer, DmitryI. Ignatov, Jonas Poelmans, and Nagarjuna Gadiraju. Lecture Notes in Computer Science, vol.7735, pp.153-172, 2013. ,
DOI : 10.1007/978-3-642-35786-2_12
Two Basic Algorithms in Concept Analysis, In: Form. Concept Anal. Ed. by Léonard Kwuida and Baris Sertkaya. Lecture Notes in Computer Science, vol.5986, 1984. ,
DOI : 10.1007/978-3-642-11928-6_22
Concept-Based Data Mining with Scaled Labeled Graphs, Concept. Struct. Work SE, 2004. ,
DOI : 10.1007/978-3-540-27769-9_6
Formalizing Hypotheses with Concepts, Lecture Notes in Computer Science, vol.1867, pp.342-356, 2000. ,
DOI : 10.1007/10722280_24
Formal Concept Analysis: Mathematical Foundations. 1st, pp.1-284, 1999. ,
Automatic Drug-Drug Interaction Detection: A Machine Learning Approach With Maximal Frequent Sequence Extraction, Challenge Task on Drug-Drug Interaction Extraction, pp.51-58, 2011. ,
SPIRIT: Sequential pattern mining with regular expression constraints, In: VLDB, vol.99, pp.7-10, 1999. ,
Mining closed patterns in relational, graph and network data, Annals of Mathematics and Artificial Intelligence, vol.4, issue.4, pp.1-28, 2012. ,
DOI : 10.1007/s10472-012-9324-8
URL : https://hal.archives-ouvertes.fr/hal-00754967
Interestingness measures for data mining, ACM Computing Surveys, vol.38, issue.3, p.9, 2006. ,
DOI : 10.1145/1132960.1132963
GenMax: An Efficient Algorithm for Mining Maximal Frequent Itemsets, Data Mining and Knowledge Discovery, vol.129, issue.2, pp.223-242, 2005. ,
DOI : 10.1007/s10618-005-0002-x
Efficiently Using Prefix-trees in Mining Frequent Itemsets, In: FIMI, vol.90, 2003. ,
Itemset mining: A constraint programming perspective, Artificial Intelligence, vol.175, issue.12-13, pp.1951-1983, 2011. ,
DOI : 10.1016/j.artint.2011.05.002
Evidence-based toxicology: a comprehensive framework for causation, Human & Experimental Toxicology, vol.24, issue.4, pp.161-201, 2005. ,
DOI : 10.1191/0960327105ht517oa
Relational concept analysis: mining concept lattices from multi-relational data, Annals of Mathematics and Artificial Intelligence, vol.5, issue.1, pp.81-108, 2013. ,
DOI : 10.1007/s10472-012-9329-3
URL : https://hal.archives-ouvertes.fr/lirmm-00816300
Functionality Pattern Matching as an Efficient Complementary Structure/Reaction Search Tool: an Open-Source Approach, Molecules, vol.15, issue.8, pp.5079-5092, 2010. ,
DOI : 10.3390/molecules15085079
Frequent pattern mining: current status and future directions, Data Mining and Knowledge Discovery, vol.1, issue.1, pp.55-86, 2007. ,
DOI : 10.1007/s10618-006-0059-1
Mining frequent patterns by pattern-growth, ACM SIGKDD Explor. Newsl. 2.2, pp.14-20, 2000. ,
DOI : 10.1145/380995.381002
FreeSpan, Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '00, pp.355-359, 2000. ,
DOI : 10.1145/347090.347167
Mining top-k frequent closed patterns without minimum support, Data Mining, 2002. ICDM 2003. Proceedings. 2002 IEEE Int. Conf. Pp, pp.211-218, 2002. ,
The meaning and use of the area under a receiver operating characteristic (ROC) curve., Radiology, vol.143, issue.1, pp.29-36, 1982. ,
DOI : 10.1148/radiology.143.1.7063747
Benchmark Data Set for in Silico Prediction of Ames Mutagenicity, Journal of Chemical Information and Modeling, vol.49, issue.9, pp.2077-2081, 2009. ,
DOI : 10.1021/ci900161g
ORIGAMI: Mining Representative Orthogonal Graph Patterns, Seventh IEEE International Conference on Data Mining (ICDM 2007), pp.153-162, 2007. ,
DOI : 10.1109/ICDM.2007.45
URL : https://hal.archives-ouvertes.fr/hal-01511074
MUSK: Uniform Sampling of k Maximal Patterns, Proc. SDM, pp, pp.650-661, 2009. ,
Output space sampling for graph patterns, Proc. VLDB Endow. 2.1, pp.730-741, 2009. ,
DOI : 10.14778/1687627.1687710
Predicting Drug-Target Interaction Networks Based on Functional Groups and Biological Features, PLoS ONE, vol.5, issue.3, p.9603, 2010. ,
DOI : 10.1371/journal.pone.0009603.s006
Mining Frequent ??-Free Patterns in Large Databases, Lecture Notes in Computer Science, vol.3735, pp.124-136, 2005. ,
DOI : 10.1007/11563983_12
Lazy structure-activity relationships (lazar) for the prediction of rodent carcinogenicity and Salmonella mutagenicity, Molecular Diversity, vol.19, issue.2, pp.147-158, 2006. ,
DOI : 10.1007/s11030-005-9001-5
Data Mining and Machine Learning Techniques for the Identification of Mutagenicity Inducing Substructures and Structure Activity Relationships of Noncongeneric Compounds, J. Chem. Inf. Comput. Sci, pp.1402-1411, 2004. ,
Heuristic Measures of Interestingness, Princ, pp.232-241, 1999. ,
DOI : 10.1007/978-3-540-48247-5_25
SPIN, Proceedings of the 2004 ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '04, p.581, 2004. ,
DOI : 10.1145/1014052.1014123
Analysis of Social Communities with Iceberg and Stability-Based Concept Lattices, Lecture Notes in Computer Science, vol.4933, pp.258-272, 2008. ,
DOI : 10.1007/978-3-540-78137-0_19
URL : https://hal.archives-ouvertes.fr/hal-00608180
A survey of frequent subgraph mining algorithms, The Knowledge Engineering Review, vol.66, issue.01, pp.75-105, 2013. ,
DOI : 10.1093/bioinformatics/bth919
CLAN: An Algorithm for Mining Closed Cliques from Large Dense Graph Databases, 22nd Int. Conf. Data Eng. IEEE, pp.73-73, 2006. ,
Graph classification based on pattern cooccurrence, Proceeding 18th ACM Conf. Inf. Knowl. Manag. -CIKM '09, p.573, 2009. ,
Towards the creation of an international toxicology information centre, Toxicology, vol.213, issue.1-2, pp.1-2, 2005. ,
DOI : 10.1016/j.tox.2005.05.014
Progress in cancer therapy targeting c-Met signaling pathway, Archives of Pharmacal Research, vol.67, issue.4, pp.595-604, 2012. ,
DOI : 10.1007/s12272-012-0402-6
Some Remarks on the Relation between Annotated Ordered Sets and Pattern Structures, Pattern Recognit. Mach. Intell, vol.18, issue.2, p.9, 2011. ,
DOI : 10.1007/978-3-642-10646-0_4
Lecture Notes in Computer Science x, DebaP. Mandal, MalayK. Kundu, and SankarK. Pal, vol.6744, pp.43-48 ,
Revisiting Numerical Pattern Mining with Formal Concept Analysis, IJCAI 2011, Proc. 22nd Int. Jt. Conf. Artif. Intell, pp.1342-1347, 2011. ,
URL : https://hal.archives-ouvertes.fr/inria-00584371
Mining gene expression data with pattern structures in formal concept analysis, Information Sciences, vol.181, issue.10, pp.1989-2001, 2011. ,
DOI : 10.1016/j.ins.2010.07.007
URL : https://hal.archives-ouvertes.fr/hal-00541100
Derivation and Validation of Toxicophores for Mutagenicity Prediction, Journal of Medicinal Chemistry, vol.48, issue.1, pp.312-320, 2005. ,
DOI : 10.1021/jm040835a
Substructure Mining Using Elaborate Chemical Representation, Journal of Chemical Information and Modeling, vol.46, issue.2, pp.597-605, 2006. ,
DOI : 10.1021/ci0503715
Warmr: a data mining tool for chemical data, Journal of Computer-Aided Molecular Design, vol.15, issue.2, pp.173-181, 2001. ,
DOI : 10.1023/A:1008171016861
Accurate unlexicalized parsing, Proceedings of the 41st Annual Meeting on Association for Computational Linguistics , ACL '03, pp.423-430, 2003. ,
DOI : 10.3115/1075096.1075150
URL : http://acl.ldc.upenn.edu/acl2003/main/pdf/Klein.pdf
Approaches to the Selection of Relevant Concepts in the Case of Noisy Data, Proc. 8th Int. Conf. Form. Concept Anal. ICFCA'10, pp.255-266, 2010. ,
DOI : 10.1007/978-3-642-11928-6_18
Artificial Intelligence Approach to Structure-Activity Studies: Computer Automated Structure Evaluation of Biological Activity of Organic Molecules, In: J. Am. Chem. Soc, vol.10624, pp.7315-7321, 1984. ,
Advances in Algorithms Based on CbO, Proc. 8th Int. Conf. Concept Lattices Their Appl. (CLA'10). Pp, pp.325-337, 2010. ,
A comparative survey of algorithms for frequent subgraph discovery, Curr. Sci, vol.100, issue.2, pp.190-198, 2011. ,
Progress in QSAR toxicity screening of pharmaceutical impurities and other FDA regulated products?????????, Advanced Drug Delivery Reviews, vol.59, issue.1, pp.43-55, 2007. ,
DOI : 10.1016/j.addr.2006.10.008
Benchmarking the effectiveness of sequential pattern mining methods, Data & Knowledge Engineering, vol.60, issue.1, pp.30-50, 2007. ,
DOI : 10.1016/j.datak.2006.01.004
Frequent subgraph discovery, Proceedings 2001 IEEE International Conference on Data Mining, pp.313-320, 2001. ,
DOI : 10.1109/ICDM.2001.989534
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.20.7488
Finding Frequent Patterns in a Large Sparse Graph, Data Min. Knowl. Discov, vol.11, issue.3, pp.243-271, 2005. ,
Interpretation on graphs and complexity characteristics of a search for specific patterns, Nauchno-Tekhnicheskaya Informatsiya Seriya 2 (Autom. Doc. Mathem. Ling.) 23.1, pp.23-27, 1989. ,
A fast algorithm for computing all intersections of objects from an arbitrary semilattice, Nauchno-Tekhnicheskaya Informatsiya Seriya 2 (Autom. Doc. Mathem. Ling.) 1, pp.17-20, 1993. ,
Comparing performance of algorithms for generating concept lattices, Journal of Experimental & Theoretical Artificial Intelligence, vol.21, issue.2-3, pp.2-3, 2002. ,
DOI : 10.1016/S0020-0190(99)00108-8
Reducing the Representation Complexity of Lattice-Based Taxonomies, In: Concept. Struct. Knowl. Archit. Smart Appl Lecture Notes in Computer Science, vol.4604, pp.241-254, 2007. ,
DOI : 10.1007/978-3-540-73681-3_18
Knowledge representation and processing with formal concept analysis, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, vol.133, issue.3, pp.200-215, 2013. ,
DOI : 10.1002/widm.1088
Learning Closed Sets of Labeled Graphs for Chemical Applications, Lecture No. Lecture Notes in Computer Science, vol.3625, pp.190-208, 2005. ,
DOI : 10.1007/11536314_12
Restrictions on Concept Lattices for Pattern Management, pp.235-246, 2010. ,
PASS: prediction of activity spectra for biologically active substances, Bioinformatics, vol.16, issue.8, pp.747-748, 2000. ,
DOI : 10.1093/bioinformatics/16.8.747
OncoLogic, In: Predict. Toxicol, pp.385-413, 2005. ,
DOI : 10.1201/9780849350351.ch10
Development of Structure- Activity Relationship Rules for Predicting Carcinogenic Potential of Chemicals, Toxicol. Lett, vol.95, pp.1-3, 1995. ,
Prediction of Protein- Ligand Interactions. Docking and Scoring: Successes and Gaps, J. Med. Chem, vol.4920, pp.5851-5855, 2006. ,
Using chemical categories to fill data gaps in hazard assessment, SAR and QSAR in Environmental Research, vol.48, issue.3-4, pp.3-4, 2009. ,
DOI : 10.1289/ehp.5757
Exploring Pattern Structures of Syntactic Trees for Relation Extraction, Yannick Toussaint, and Amedeo Napoli In: Form. Concept Anal. Lecture Notes in Computer Science, vol.9113, pp.153-168, 2015. ,
DOI : 10.1007/978-3-319-19545-2_10
URL : https://hal.archives-ouvertes.fr/hal-01186717
Introduction of Jumping Fragments in Combination with QSARs for the Assessment of Classification in Ecotoxicology, Journal of Chemical Information and Modeling, vol.50, issue.8, pp.1330-1339, 2010. ,
DOI : 10.1021/ci100092x
URL : https://hal.archives-ouvertes.fr/hal-01011322
A scalable algorithm for mining maximal frequent sequences using sampling, 16th IEEE International Conference on Tools with Artificial Intelligence, pp.156-165, 2004. ,
DOI : 10.1109/ICTAI.2004.16
A taxonomy of sequential pattern mining algorithms, ACM Computing Surveys, vol.43, issue.1, pp.1-3, 2010. ,
DOI : 10.1145/1824795.1824798
Levelwise search and borders of theories in knowledge discovery, Data Mining and Knowledge Discovery, vol.1, issue.3, pp.241-258, 1997. ,
DOI : 10.1023/A:1009796218281
Efficient Algorithms for Discovering Association Rules, In: Knowl. Discov. Data Min. Pp, pp.181-192, 1994. ,
Introduction to Information Retrieval, 2008. ,
DOI : 10.1017/CBO9780511809071
Does Rational Selection of Training and Test Sets Improve the Outcome of QSAR Modeling?, Journal of Chemical Information and Modeling, vol.52, issue.10, pp.2570-2578, 2012. ,
DOI : 10.1021/ci300338w
Measuring Interestingness ? Perspectives on Anomaly Detection, In: Comput. Eng. Intell. Syst, pp.29-40, 2013. ,
The PSP approach for mining sequential patterns, pp.176-184, 1998. ,
DOI : 10.1007/BFb0094818
Latent Structure Pattern Mining, Mach. Learn. Knowl. Discov. Databases SE - Aristides Gionis, and Michèle Sebag. Lecture Notes in Computer Science, vol.23, issue.6322, pp.353-368, 2010. ,
DOI : 10.1007/978-3-642-15883-4_23
A survey of interestingness measures for knowledge discovery, The Knowledge Engineering Review, vol.20, issue.01, pp.1-39, 2005. ,
DOI : 10.1017/S0269888905000408
AddIntent: A new incremental algorithm for constructing concept lattices, Concept Lattices, pp.372-385, 2004. ,
Extending Attribute Dependencies for Lattice-Based Querying and Navigation, In: Concept. Struct. Knowl. Vis. Reason. Ed. by Peter Eklund and Ollivier Haemmerlé. Lecture Notes in Computer Science, vol.5113, pp.189-202, 2008. ,
DOI : 10.1007/978-3-540-70596-3_13
URL : https://hal.archives-ouvertes.fr/inria-00338678
Discovering Structural Alerts for Mutagenicity Using Stable Emerging Molecular Patterns, Journal of Chemical Information and Modeling, vol.55, issue.5, pp.925-940, 2015. ,
DOI : 10.1021/ci500611v
Feature Selection for Drug-Drug Interaction Detection Using Machine-Learning Based Approaches, Challenge Task on Drug-Drug Interaction Extraction, pp.43-50, 2011. ,
Version spaces: an approach to concept learning, 1978. ,
Efficient mining of all margin-closed itemsets with applications in temporal knowledge discovery and classification by compression, Knowledge and Information Systems, vol.9, issue.3, pp.55-80, 2011. ,
DOI : 10.1007/s10115-010-0329-5
Sequential pattern mining -- approaches and algorithms, ACM Computing Surveys, vol.45, issue.2, pp.1-39, 2013. ,
DOI : 10.1145/2431211.2431218
A Survey of Recent Advances in Hierarchical Clustering Algorithms, The Computer Journal, vol.26, issue.4, pp.354-359, 1983. ,
DOI : 10.1093/comjnl/26.4.354
Computational toxicology in drug development, Drug Discovery Today, vol.13, issue.7-8, pp.303-310, 2008. ,
DOI : 10.1016/j.drudis.2007.12.007
A formal model of knowledge interpretation on the basis of classification process, pp.175-180, 1963. ,
The Gaston Tool for Frequent Subgraph Mining, Electronic Notes in Theoretical Computer Science, vol.127, issue.1, pp.77-87, 2005. ,
DOI : 10.1016/j.entcs.2004.12.039
Stochastically Guided Disjunctive Version Space Learning, 1996. ,
Structure-Based Design of Novel Class II c-Met Inhibitors: 1. Identification of Pyrazolone-Based Derivatives, Journal of Medicinal Chemistry, vol.55, issue.5, pp.1858-1867, 2012. ,
DOI : 10.1021/jm201330u
An algorithm for computing the maximal rectangles in a binary relation, In: Rev. Roum. Mathématiques Pures Appliquées, vol.23, issue.2, pp.243-250, 1978. ,
A fast incremental algorithm for building lattices, Journal of Experimental & Theoretical Artificial Intelligence, vol.24, issue.2-3, pp.2-3, 2002. ,
DOI : 10.1016/S0020-0190(99)00108-8
The use of of a lattice in Knowledge Processing, 1988. ,
A new algorithm for gap constrained sequence mining, Proceedings of the 2004 ACM symposium on Applied computing , SAC '04, pp.540-547, 2004. ,
DOI : 10.1145/967900.968014
SkyGraph: an algorithm for important subgraph discovery in relational graphs, Data Mining and Knowledge Discovery, vol.23, issue.13, pp.57-76, 2008. ,
DOI : 10.1007/s10618-008-0109-y
Efficient mining of association rules using closed itemset lattices, Information Systems, vol.24, issue.1, pp.25-46, 1999. ,
DOI : 10.1016/S0306-4379(99)00003-4
Integration of Computational Analysis as a Sentinel Tool in Toxicological Assessments, Current Topics in Medicinal Chemistry, vol.1, issue.4, pp.247-255, 2001. ,
DOI : 10.2174/1568026013395074
PrefixSpan Mining Sequential Patterns Efficiently by Prefix Projected Pattern Growth, 17th Int. Conf. Data Eng. Pp, pp.215-226, 2001. ,
PrefixSpan: Mining Sequential Patterns by Prefix-Projected Growth, pp.215-224, 2001. ,
Graph-Mining Algorithm for the Evaluation of Bond Formability, Journal of Chemical Information and Modeling, vol.50, issue.2, pp.221-239, 2010. ,
DOI : 10.1021/ci9003909
URL : https://hal.archives-ouvertes.fr/hal-00471405
ZooM: a nested Galois lattices-based system for conceptual clustering, Journal of Experimental & Theoretical Artificial Intelligence, vol.5, issue.2-3, pp.2-3, 2002. ,
DOI : 10.1023/A:1022611825350
Multi-dimensional sequential pattern mining, Proceedings of the tenth international conference on Information and knowledge management , CIKM'01, pp.81-88, 2001. ,
DOI : 10.1145/502585.502600
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.29.379
M2SP: Mining Sequential Patterns Among Several Dimensions, In: Knowl. Discov. Databases PKDD Lecture Notes in Computer Science, vol.3721, pp.205-216, 2005. ,
DOI : 10.1007/11564126_23
URL : https://hal.archives-ouvertes.fr/lirmm-00106087
Mining multidimensional and multilevel sequential patterns, ACM Transactions on Knowledge Discovery from Data, vol.4, issue.1, pp.1-37, 2010. ,
DOI : 10.1145/1644873.1644877
URL : https://hal.archives-ouvertes.fr/hal-01381826
A note on inductive generalization, Mach. Intell. 5.1, pp.153-163, 1970. ,
Formal concept analysis in knowledge processing: A survey on applications, Expert Systems with Applications, vol.40, issue.16, pp.6538-6560, 2013. ,
DOI : 10.1016/j.eswa.2013.05.009
Formal Concept Analysis in knowledge processing: A survey on models and techniques, Expert Systems with Applications, vol.40, issue.16, pp.6601-6623, 2013. ,
DOI : 10.1016/j.eswa.2013.05.007
Extracting and summarizing the frequent emerging graph patterns from a dataset of graphs, Journal of Intelligent Information Systems, vol.17, issue.8, pp.333-353, 2011. ,
DOI : 10.1007/s10844-011-0168-1
URL : https://hal.archives-ouvertes.fr/hal-01018410
Similarity between Euclidean and cosine angle distance for nearest neighbor queries, Proceedings of the 2004 ACM symposium on Applied computing , SAC '04, 2004. ,
DOI : 10.1145/967900.968151
Mining conjunctive sequential patterns, Data Min. Knowl. Discov, vol.171, pp.77-93, 2008. ,
Fragment-based lead discovery, Nature Reviews Drug Discovery, vol.2, issue.8, pp.660-672, 2012. ,
DOI : 10.1038/nrd1467
Structural Basis for Selective Small Molecule Kinase Inhibition of Activated c-Met, Journal of Biological Chemistry, vol.286, issue.13, pp.11218-11225, 2011. ,
DOI : 10.1074/jbc.M110.204404
Computer prediction of possible toxic action from chemical structure: an update on the DEREK system, Toxicology, vol.106, issue.1-3, pp.106-107, 1996. ,
DOI : 10.1016/0300-483X(95)03190-Q
The European Commission's White Paper "Strategy for a Future Chemicals Policy": A Review, Risk Anal. 23.2, pp.381-388, 2003. ,
DOI : 10.1080/136698701455997
Towards Concise Representation for Taxonomies of Epistemic Communities, Proc. 4th Int. Conf. Concept lattices their Appl. CLA'06, pp.240-255, 2006. ,
DOI : 10.1007/978-3-540-78921-5_17
FAST Sequence Mining Based on Sparse Id-Lists, Proceedings of the 19th international conference on Foundations of intelligent systems. ISMIS'11, pp.316-325, 2011. ,
DOI : 10.1007/978-3-540-88636-5_72
Computer Prediction of Possible Toxic Action from Chemical Structure; The DEREK System, Human & Experimental Toxicology, vol.10, issue.4, pp.261-273, 1991. ,
DOI : 10.1177/096032719101000405
An Efficiently Computable Graph-Based Metric for the Classification of Small Molecules, Lecture Notes in Computer Science, vol.5255, pp.197-209, 2008. ,
DOI : 10.1007/978-3-540-88411-8_20
In-silico predictive mutagenicity model generation using supervised learning approaches, Journal of Cheminformatics, vol.4, issue.1, p.10, 2012. ,
DOI : 10.1002/em.2860070613
Delaying the choice of bias: A disjunctive version space approach, pp.444-452, 1996. ,
URL : https://hal.archives-ouvertes.fr/hal-00116418
The 1st DDIExtraction- 2011 challenge task: Extraction of Drug-Drug Interactions from biomedical texts, Challenge Task on Drug-Drug Interaction Extraction 2011, pp.1-9, 2011. ,
MOSubdue: a Pareto dominance-based multiobjective Subdue algorithm for frequent subgraph mining, Knowledge and Information Systems, vol.7, issue.3, pp.75-108, 2013. ,
DOI : 10.1007/s10115-011-0452-y
Automating Knowledge Discovery for Toxicity Prediction Using Jumping Emerging Pattern Mining, Journal of Chemical Information and Modeling, vol.52, issue.11, pp.3074-3087, 2012. ,
DOI : 10.1021/ci300254w
Emerging Pattern Mining To Aid Toxicological Knowledge Discovery, Journal of Chemical Information and Modeling, vol.54, issue.7, pp.1864-1879, 2014. ,
DOI : 10.1021/ci5001828
HazardExpert, ACS Sym. Ser, vol.484, pp.191-200, 1992. ,
DOI : 10.1021/bk-1992-0484.ch019
Parsing with compositional vector grammars, Proceedings of the ACL conference. Citeseer, 2013. ,
Extensional Confluences and Local Closure Operators, -Aciego. Lecture Notes in Computer Science, vol.9113, pp.128-144, 2015. ,
DOI : 10.1007/978-3-319-19545-2_8
Graph abstraction for closed pattern mining in attributed network, Eur. Conf. Artif. Intell. (ECAI), pp.849-854, 2014. ,
Abstract Concept Lattices, Petko Valtchev and Robert Jäschke. Lecture Notes in Computer Science, vol.2, issue.14, pp.235-250, 2011. ,
DOI : 10.1080/10798587.1996.10750660
URL : https://hal.archives-ouvertes.fr/hal-00642105
Optimizing Constraint-Based Mining by Automatically Relaxing Constraints, Fifth IEEE International Conference on Data Mining (ICDM'05), 2005. ,
DOI : 10.1109/ICDM.2005.112
URL : https://hal.archives-ouvertes.fr/hal-00324838
Mining Dominant Patterns in the Sky, 2011 IEEE 11th International Conference on Data Mining, pp.655-664, 2011. ,
DOI : 10.1109/ICDM.2011.100
URL : https://hal.archives-ouvertes.fr/inria-00623566
Interesting pattern mining in multirelational data, Data Min. Knowl. Discov, pp.1-42, 2013. ,
Mining sequential patterns: Generalizations and performance improvements, 1996. ,
DOI : 10.1007/BFb0014140
Efficient Vertical Mining of Frequent Closures and Generators, Adv. Intell. Data Anal. VIII, 2009. ,
DOI : 10.1007/978-3-540-88411-8_15
URL : https://hal.archives-ouvertes.fr/inria-00618805
A fast compound algorithm for mining generators, closed itemsets, and computing links between equivalence classes, Annals of Mathematics and Artificial Intelligence, vol.175, issue.2, pp.1-2, 2014. ,
DOI : 10.1007/s10472-013-9372-8
URL : https://hal.archives-ouvertes.fr/hal-01101140
Finding Robust Itemsets under Subsampling, In: ACM Trans. Database Syst, vol.393, pp.1-27, 2014. ,
DOI : 10.1109/icdm.2011.69
URL : http://repository.tue.nl/782671
MARGIN, ACM Transactions on Knowledge Discovery from Data, vol.4, issue.3, pp.1-42, 2010. ,
DOI : 10.1145/1839490.1839491
URL : https://hal.archives-ouvertes.fr/hal-00118047
Relation extraction for drug-drug interactions using ensemble learning, Challenge Task on Drug- Drug Interaction Extraction, pp.11-18, 2011. ,
A Drug Resistance Screen Using a Selective MET Inhibitor Reveals a Spectrum of Mutations That Partially Overlap with Activating Mutations Found in Cancer Patients, Cancer Research, vol.71, issue.15, pp.5255-5264, 2011. ,
DOI : 10.1158/0008-5472.CAN-10-4433
Predictive QSAR Modeling Workflow, Model Applicability Domains, and Virtual Screening, Current Pharmaceutical Design, vol.13, issue.34, pp.3494-3504, 2007. ,
DOI : 10.2174/138161207782794257
Similarity-based behavior and process mining of medical practices, Future Generation Computer Systems, vol.33, pp.21-31, 2014. ,
DOI : 10.1016/j.future.2013.10.014
An Efficient Algorithm for Enumerating Closed Patterns in Transaction Databases, Lecture Notes in Computer Science, vol.3245, pp.16-31, 2004. ,
DOI : 10.1007/978-3-540-30214-8_2
LCM ver.3, Proceedings of the 1st international workshop on open source data mining frequent pattern mining implementations, OSDM '05, pp.77-86, 2005. ,
DOI : 10.1145/1133905.1133916
In silico toxicology for the pharmaceutical sciences???, Toxicology and Applied Pharmacology, vol.241, issue.3, pp.356-370, 2009. ,
DOI : 10.1016/j.taap.2009.08.022
Alpha Galois Lattices, Fourth IEEE International Conference on Data Mining (ICDM'04), pp.555-558, 2004. ,
DOI : 10.1109/ICDM.2004.10028
URL : https://hal.archives-ouvertes.fr/hal-00077391
Describing chemical functional groups in OWL-DL for the classification of chemical compounds, 2007. ,
Krimp: mining itemsets that compress, Data Mining and Knowledge Discovery, vol.177, issue.1, pp.169-214, 2011. ,
DOI : 10.1007/s10618-010-0202-x
Interesting Patterns, pp.105-134, 2014. ,
DOI : 10.1007/978-3-319-07821-2_5
Discovering Significant Patterns, Mach. Learn, vol.681, pp.1-33, 2007. ,
DOI : 10.1007/s10994-007-5006-x
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.69.3886
K-Optimal Rule Discovery, Data Mining and Knowledge Discovery, vol.10, issue.1, pp.39-79, 2005. ,
DOI : 10.1007/s10618-005-0255-4
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.146.4925
Detecting Incorrect Numerical Data in DBpedia, 11th Extended Semantic Web Conference, 2014. ,
DOI : 10.1007/978-3-319-07443-6_34
A Quantitative Comparison of the Subgraph Miners MoFa, gSpan, FFSM, and Gaston, Knowl. Discov. Databases PKDD 2005 SE -39, pp.392-403, 2005. ,
DOI : 10.1007/11564126_39
Extracting redundancy-aware top-k patterns, Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '06, p.444, 2006. ,
DOI : 10.1145/1150402.1150452
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.472.1876
In silico Prediction of Chemical Ames Mutagenicity, Journal of Chemical Information and Modeling, vol.52, issue.11, pp.2840-2847, 2012. ,
DOI : 10.1021/ci300400a
A fast surface-matching procedure for protein???ligand docking, Journal of Molecular Modeling, vol.29, issue.6, pp.965-972, 2006. ,
DOI : 10.1007/s00894-006-0109-z
Mining significant graph patterns by leap search, Proceedings of the 2008 ACM SIGMOD international conference on Management of data , SIGMOD '08, pp.433-444, 2008. ,
DOI : 10.1145/1376616.1376662
gSpan: Graph-Based Substructure Pattern Mining, Data Mining, 2002. ICDM 2003. Proceedings. . . . Pp, pp.721-724, 2002. ,
CloSpan: Mining: Closed Sequential Patterns in Large Datasets, Proc. SIAM Int'l Conf. Data Min. Pp, pp.166-177, 2003. ,
DOI : 10.1137/1.9781611972733.15
PAID: Mining Sequential Patterns by Passed Item Deduction in Large Databases, 2006 10th International Database Engineering and Applications Symposium (IDEAS'06), pp.113-120, 2006. ,
DOI : 10.1109/IDEAS.2006.34
Mining itemset utilities from transaction databases, Data & Knowledge Engineering, vol.59, issue.3, pp.603-626, 2006. ,
DOI : 10.1016/j.datak.2005.10.004
Mining Sequential Patterns from Multidimensional Sequence Data, IEEE Trans. Knowl. Data Eng, vol.17, issue.1, pp.136-140, 2005. ,
Detecting abnormal data for ontology based information integration, 2011 International Conference on Collaboration Technologies and Systems (CTS), 2011. ,
DOI : 10.1109/CTS.2011.5928721
Efficient enumeration of frequent sequences, Proceedings of the seventh international conference on Information and knowledge management , CIKM '98, pp.68-75, 1998. ,
DOI : 10.1145/288627.288643
Fast vertical mining using diffsets, Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '03, pp.326-335, 2003. ,
DOI : 10.1145/956750.956788
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.5466
Efficient algorithms for mining closed itemsets and their lattice structure, IEEE Transactions on Knowledge and Data Engineering, vol.17, issue.4, pp.462-478, 2005. ,
DOI : 10.1109/TKDE.2005.60
User-driven quality evaluation of DBpedia, Proceedings of the 9th International Conference on Semantic Systems, I-SEMANTICS '13, 2013. ,
DOI : 10.1145/2506182.2506195
On Mining Summaries by Objective Measures of Interestingness, Machine Learning, vol.5, issue.6, pp.175-198, 2006. ,
DOI : 10.1007/s10994-005-5066-8
FOGGER, Proceedings of the 12th International Conference on Extending Database Technology Advances in Database Technology, EDBT '09, pp.517-528, 2009. ,
DOI : 10.1145/1516360.1516421
Coherent closed quasiclique discovery from large dense graph databases, Proc. 12th ACM SIGKDD Int. Conf. Knowl. Discov. data Min. -KDD '06, p.797, 2006. ,
DOI : 10.1145/1150402.1150506
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.109.2218
gPrune: A Constraint Pushing Framework for Graph Pattern Mining, Lecture Notes in Computer Science, vol.4426, 2007. ,
DOI : 10.1007/978-3-540-71701-0_38
Objectively evaluating condensed representations and interestingness measures for frequent itemset mining, Journal of Intelligent Information Systems, vol.12, issue.3, pp.1-19, 2013. ,
DOI : 10.1007/s10844-013-0297-9
Exploration de données, Analyse Formelle de Concepts, Pattern Structures ,