Padmanabhan B, Tuzhilin A (2000) Small is beautiful: discovering the minimal set of unexpected patterns. In: Proc. of the 6th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD00), pp 54–63 Pavlov D, Mannila H, Smyth P (2003) Beyond independence: Probabilistic models for query approximation on binary transaction data. IEEE Transactions on Knowledge and Data Engineering 15:1409–1421 Rasch G (1961) On general laws and the meaning of measurement in psychology.

In: Proc. of the Fourth Berkeley Symposium on Mathematical Statistics and Probability, IV, pp 321–333 Robins G, Pattison P, Kalish Y, Lusher D (2007) An introduction to exponential random graph (p∗**) models for social networks. Social Networks 29(2):173–191**
Savinov A (2004) Mining dependence rules by finding largest itemset support quota. In: Proceedings of the 2004 ACM symposium on Applied computing, pp 525–529 Shewchuk J (1994) An introduction to the conjugate gradient method without the agonizing pain. Tech. rep., CMU
Siebes A, Vreeken J, van Leeuwen M (2006) Item sets that compress. In: Proc.

of the 2006 SIAM International Conference on Data Mining (SDM06), pp 393–404 Silberschatz A, Tuzhilin A (1995) On subjective measures of interestingness in knowledge discovery. In: Proc. of the 1st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD95), pp 275–281 Tatti N (2008) Maximum entropy based significance of itemsets. Knowledge and Information Systems 17(1):57–77 Topsøe F (1979) Information-theoretical optimization techniques. Kybernetika 15(1):8–27 Tribus M (1961) Thermostatics and Thermodynamics: An Introduction to Energy, Information and States of Matter, with Engineering Applications. Van Nostrand Wainwright M, Jordan MI (2008) Graphical models, exponential families, and variational inference. Foundations and Trends in Machine Learning **1(1-2):1–** 305 Zaki M, Hsiao C (2002) CHARM: An efficient algorithm for closed itemsets mining. In: Proc. of the 2nd SIAM International Conference on Data Mining
(SDM02)