C. Zhang, L. He, Y. Mao, and B. Xiao, Knowledge discovery of network public opinion in the concept of smart city, Industrial Electronics and Applications, pp.1197-1202, 2015.

T. Chowdhury, S. Chakraborty, and S. K. Setua, Knowledge extraction from big data using MapReduce-based parallel-reduct algorithm, International Conference on Computer Science and Network Technology, pp.240-246, 2017.

Q. Miao, Y. Meng, and B. Zhang, Chinese enterprise knowledge graph construction based on linked data, IEEE International Conference on Semantic Computing, pp.153-154, 2015.

Y. Li, M. A. Thomas, and K. Osei-bryson, Ontology-based data mining model management for self-service knowledge discovery, Inf. Syst. Front, vol.19, pp.925-943, 2017.

X. Wang, J. Liu, and F. Sheng, Analysis of hotspots in the field of domestic knowledge discovery based on co-word analysis method, Cybern. Inf. Technol, vol.14, pp.145-158, 2014.

S. J. Soundappan and R. Sugumar, Optimal knowledge extraction technique based on hybridisation of improved artificial bee colony algorithm and cuckoo search algorithm, Int. J. Bus. Intell. Data Min, vol.11, p.338, 2016.

H. C. Liu, J. X. You, Z. W. Li, and G. Tian, Fuzzy Petri nets for knowledge representation and reasoning, Eng. Appl. Artif. Intell, vol.60, pp.45-56, 2017.

A. Lig?za and T. Potempa, Artificial intelligence for knowledge management with BPMN and rules, AI4KM 2012. IAICT, vol.422, pp.19-37, 2014.

Y. M. Ha, S. Park, S. W. Kim, J. I. Won, and J. H. Yoon, A stock recommendation system exploiting rule discovery in stock databases, Inf. Softw. Technol, vol.51, pp.1140-1149, 2009.

A. Muntalib, S. Sidi, F. Jabar, M. A. Ishak, and I. , Big data trend: knowledge discovery on the unstructured data, 2014.

J. Hao, Y. Yan, L. Gong, G. Wang, and J. Lin, Knowledge map-based method for domain knowledge browsing, Decis. Support Syst, vol.61, pp.106-114, 2014.

W. L. Lee, D. Parra, J. Munoz-gama, and M. Sepúlveda, Predicting process behavior meets factorization machines, Expert Syst. Appl, vol.112, pp.87-98, 2018.

Z. Huanyu and L. Xin, Research on the application of knowledge discovery in digital library service, 2017.

R. S. Kazemzadeh and K. Sartipi, Interoperability of data and knowledge in distributed health care systems, IEEE International Workshop on Software Technology & Engineering Practice, 2005.

C. Schmidt and W. N. Sun, Synthesizing agile and knowledge discovery: case study results, J. Comput. Inf. Syst, vol.58, issue.2, pp.142-150, 2016.

M. Allarakhia, Evolving models of collaborative drug discovery: managing intellectual capital assets, Expert Opin. Drug Discov, vol.13, issue.6, pp.473-476, 2018.

A. Usai, M. Pironti, M. Mital, and C. A. Mejri, Knowledge discovery out of text data: a systematic review via text mining, J. Knowl. Manag, vol.22, pp.1471-1488, 2018.

Y. Sermet and I. Demir, An intelligent system on knowledge generation and communication about flooding, Environ. Model Softw, vol.108, pp.51-60, 2018.

J. Grira, Y. Bédard, S. Roche, and R. Devillers, Towards a collaborative knowledge discovery system for enriching semantic information about risks of geospatial data, vol.40, pp.53-58, 2013.

A. Verma, M. Fiasché, M. Cuzzola, F. C. Morabito, and G. Irrera, Knowledge discovery and risk prediction for chronic diseases: an integrated approach, Engineering Applications of Neural Networks -INNS EANN-SIG International Conference, EANN 2011 and IFIP WG 12.5 International Conference, pp.270-279, 2011.
URL : https://hal.archives-ouvertes.fr/hal-01571367

M. Qu, Y. Chang, Y. V. Reddy, and S. Reddy, A behavior centric service discovery model for building knowledge advantage machine, Advanced Information Technology, Electronic and Automation Control Conference, pp.630-634, 2017.

C. R. Woszezenki, A. L. Goncalves, and J. A. De-souza, A knowledge discovery model based on semantic and temporal associations between textual elements, IEEE Lat. Am. Trans, vol.16, pp.1243-1249, 2018.

Q. Chen, Z. Fan, D. Kaleshi, and S. Armour, Rule induction-based knowledge discovery for energy efficiency, IEEE Access, vol.3, pp.1423-1436, 2015.

L. Y. Peng, Y. Q. Feng, J. Q. Gou, and X. W. Li, Heavy haul railway safety factors selection and weight analysis, China Saf. Sci. J, vol.28, issue.2, pp.116-121, 2018.