J. Han, Data Mining
DOI : 10.1007/978-1-4899-7993-3_104-2

R. Agrawal and R. Srikant, Fast algorithms for mining association rules in large databases, Proceedings of International Conference on Very Large Data Bases (VLDB), pp.487-499, 1994.

E. Greengrass, Information retrieval: A survey, 2000.

H. Heikinheimo, E. Hinkkanen, H. Mannila, T. Mielikäinen, and J. K. Seppänen, Finding low-entropy sets and trees from binary data, Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '07, pp.350-359, 2007.
DOI : 10.1145/1281192.1281232

T. M. Cover, Elements of information theory, 2006.

R. Gray, Entropy and information theory, 2011.

A. J. Knobbe and E. K. Ho, Maximally informative k-itemsets and their efficient discovery, Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining , KDD '06, pp.237-244, 2006.
DOI : 10.1145/1150402.1150431
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.108.1068

C. Zhang and F. Masseglia, Discovering Highly Informative Feature Sets from Data Streams, Database and Expert Systems Applications, pp.91-104, 2010.
DOI : 10.1007/978-3-642-15364-8_7

S. B. Kotsiantis, Supervised machine learning: A review of classification techniques, Proceedings of International Conference on Emerging Artificial Intelligence Applications in Computer Engineering, pp.3-24, 2007.

Z. Ghahramani, Unsupervised Learning, Advanced Lectures on Machine Learning, pp.72-112, 2004.
DOI : 10.1080/01621459.1995.10476550

J. Dean and S. Ghemawat, MapReduce, Communications of the ACM, vol.51, issue.1, pp.107-113, 2008.
DOI : 10.1145/1327452.1327492

M. Zaharia, M. Chowdhury, M. J. Franklin, S. Shenker, and I. Stoica, Spark: Cluster computing with working sets, Proceedings of the 2Nd USENIX Conf. on Hot Topics in Cloud Computing, pp.10-10, 2010.