Reasoning about temporal relations, Journal of the ACM, vol.50, issue.5, pp.591-640, 2003. ,
DOI : 10.1145/876638.876639
A practical query language for graph dbs, 7th Alberto Mendelzon International Workshop on Foundations of Data Management (AMW), 2013. ,
Survey of graph database models, ACM Computing Surveys, vol.40, issue.1, 2008. ,
DOI : 10.1145/1322432.1322433
A Versioning and Evolution Framework for RDF Knowledge Bases, pp.55-69, 2007. ,
DOI : 10.1007/978-3-540-70881-0_8
In: Bank Fraud Detection (2014), https://github.com/ neo4j-contrib/gists ,
Technology radar, 2013. ,
Graph Theory With Applications, 1976. ,
DOI : 10.1007/978-1-349-03521-2
Representing history in graph-oriented NoSQL databases: A versioning system, Eighth International Conference on Digital Information Management (ICDIM 2013), 2013. ,
DOI : 10.1109/ICDIM.2013.6694022
URL : https://hal.archives-ouvertes.fr/lirmm-01381081
Anomaly detection, ACM Computing Surveys, vol.41, issue.3, pp.1-15, 2009. ,
DOI : 10.1145/1541880.1541882
Representing and querying changes in semistructured data, Proceedings 14th International Conference on Data Engineering, 1998. ,
DOI : 10.1109/ICDE.1998.655752
THIRTY YEARS OF GRAPH MATCHING IN PATTERN RECOGNITION, International Journal of Pattern Recognition and Artificial Intelligence, vol.18, issue.03, 2004. ,
DOI : 10.1142/S0218001404003228
URL : https://hal.archives-ouvertes.fr/hal-01408706
Graphs-at-a-time, Proceedings of the 2008 ACM SIGMOD international conference on Management of data , SIGMOD '08, 2008. ,
DOI : 10.1145/1376616.1376660
Cyclic pattern kernels for predictive graph mining, Proceedings of the 2004 ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '04, pp.158-167, 2004. ,
DOI : 10.1145/1014052.1014072
Graph mining for detection of a large class of financial crimes, 17th International Conference on Conceptural structure, 2009. ,
Efficient snapshot retrieval over historical graph data, 2013 IEEE 29th International Conference on Data Engineering (ICDE), pp.997-1008, 2013. ,
DOI : 10.1109/ICDE.2013.6544892
Frequent subgraph discovery, Proceedings 2001 IEEE International Conference on Data Mining, pp.313-320, 2001. ,
DOI : 10.1109/ICDM.2001.989534
An efficient method for maintaining data cubes incrementally, Information Sciences, vol.180, issue.6, pp.928-948, 2010. ,
DOI : 10.1016/j.ins.2009.11.037
Fraud Detection: Methods of Analysis for Hypergraph Data, 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, pp.1060-1064, 2012. ,
DOI : 10.1109/ASONAM.2012.234
Advanced techniques for detecting complex fraud schemes in large datasets, BAE Systems Detica 2012 COMMERCIAL IN CONFIDENCE Date, 2013. ,
Graph-based anomaly detection, Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '03, pp.631-636, 2003. ,
DOI : 10.1145/956750.956831
High-level change detection in RDF(S) KBs, ACM Transactions on Database Systems, vol.38, issue.1, pp.1-1, 2013. ,
DOI : 10.1145/2445583.2445584
Fraud detection: Discovering connections with graph databases, White Paper -Neo Technology -Graphs are Everywhere, 2014. ,
Fuzzifying Allen's Temporal Interval Relations, IEEE Transactions on Fuzzy Systems, vol.16, issue.2, pp.517-533, 2008. ,
DOI : 10.1109/TFUZZ.2007.895960
The approximate graph matching problem, Proceedings of the 12th IAPR International Conference on Pattern Recognition (Cat. No.94CH3440-5), pp.284-288, 1994. ,
DOI : 10.1109/ICPR.1994.576921
Query languages for graph databases. SIGMOD Rec, pp.50-60, 2012. ,
gspan: Graph-based substructure pattern mining, Proceedings of the 2002 IEEE International Conference on Data Mining. pp. 721?. ICDM '02, 2002. ,