Rule induction is a practical approach to knowledge discovery. Provided that a problem is developed, rule induction is able to return the knowledge that addresses the goal of this problem as if-then rules. The primary goals of knowledge discovery are for prediction and ... View more
 U. Fayyad, G. Piatetsky-Shapiro, and P. Smyth, ``From data mining to knowledge discovery in databases,'' AI Mag., vol. 17, no. 3, pp. 37 54, 1996.
 S. Greco, B. Matarazzo, R. Slowinski, and J. Stefanowski, ``An algorithm for induction of decision rules consistent with the dominance principle,'' in Rough Sets and Current Trends in Computing (Lecture Notes in Computer Science), W. Ziarko and Y. Yao, Eds. Berlin, Germany: Springer-Verlag, 2001, pp. 304 313.
 J. Fürnkranz, ``Separate-and-conquer rule learning,'' Artif. Intell. Rev., vol. 13, no. 1, pp. 3 54, 1999.
 N. Lavra£, B. Kav²ek, P. Flach, and L. Todorovski, ``Subgroup discovery with CN2-SD,'' J. Mach. Learn. Res., vol. 5, pp. 153 188, Feb. 2004.
 I. MacLeay et al., ``Digest of United Kingdom energy statistics 2014,'' Dept. Energy Climate Change, London, U.K., Tech. Rep. ISBN 9780115155307, 2014.
 R. de Sá Ferreira, L. A. Barroso, P. R. Lino, M. M. Carvalho, and P. Valenzuela, ``Time-of-use tariff design under uncertainty in priceelasticities of electricity demand: A stochastic optimization approach,'' IEEE Trans. Smart Grid, vol. 4, no. 4, pp. 2285 2295, Dec. 2013.
 S. Gottwalt, W. Ketter, C. Block, J. Collins, and C. Weinhardt, ``Demand side management A simulation of household behavior under variable prices,'' Energy Policy, vol. 39, no. 12, pp. 8163 8174, 2011.
 G. Chicco, R. Napoli, P. Postolache, M. Scutariu, and C. Toader, ``Customer characterization options for improving the tariff offer,'' IEEE Trans. Power Syst., vol. 18, no. 1, pp. 381 387, Feb. 2003.
 F. McLoughlin, A. Duffy, and M. Conlon, ``Characterising domestic electricity consumption patterns by dwelling and occupant socio-economic variables: An Irish case study,'' Energy Buildings, vol. 48, pp. 240 248, May 2012.
 T. A. Nguyen and M. Aiello, ``Energy intelligent buildings based on user activity: A survey,'' Energy Buildings, vol. 56, pp. 244 257, Jan. 2013.