3Olivier C, Bernhard S, Alexander Z. Semi - Supervised Learning. The MIT Press, 2006.
4Zhu X J. Semi - Supervised Learning Literature Survey. Mad- ison:University of Wisconsin, 2008.
5Zhou Z H. Ensemble Methods: Foundations and Algorithms. Boca Raton, FL: Chapman & Hall/CRC, 2012.
6Labrinidis A, Jagadish H V. Challenges and Opportunities with Big Data. Proc of the VLDB Endowment, 2012, 5(12) : 2032-2033.
7Bizer C, Boncz P, Brodie M L, et al. The Meaningful Use of Big Data : Four Perspectives-Four Challenges. ACM SIGMOD Record, 2012, 40(4) : 56-60.
8Wang F Y. A Big-Data Perspective on AI: Newton, Merton, and An- alytics Intelligence. IEEE Intelligent Systems, 2012, 27 (5) : 2-4.
9Simon H A. Why Should Machines Learn?//Michalski R S, Car- bonell J G, Mitchell T M, et al. , eds. Machine Learning: An Arti- ficial Intelligence Approach. Berlin, Germany: Springer, 1983: 25 -37.
10Hart P. The Condensed Nearest Neighbor Rule. IEEE Trans on In- formation Theory, 1968, 14(3) : 515-516.
