1Labrinidis A, Jagadish H V. Challenges and Opportunities with Big Data. Proc of the VLDB Endowment, 2012, 5(12) : 2032-2033.
2Bizer 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.
3Wang F Y. A Big-Data Perspective on AI: Newton, Merton, and An- alytics Intelligence. IEEE Intelligent Systems, 2012, 27 (5) : 2-4.
4Simon 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.
5Hart P. The Condensed Nearest Neighbor Rule. IEEE Trans on In- formation Theory, 1968, 14(3) : 515-516.
6Gates G. The Reduced Nearest Neighbor Rule. IEEE Trans on In- formation Theory, 1972, 18(3) : 431-433.
7Brighton H, Mellish C. Advances in Instance Selection for Instance- Based Learning Algorithms. Data Mining and Knowledge Discovery, 2002, 6(2) : 153-172.
8Li Y H, Maguire L. Selecting Critical Patterns Based on Local Geo- metrical and Statistical Information. IEEE Trans on Pattern Analysis and Machine Intelligence, 2011, 33(6) : 1189-1201.
9Angiulli F. Fast Nearest Neighbor Condensation for Large Data Sets Classification. IEEE Trans on Knowledge and Data Engineering, 2007, 19(11): 1450-1464.
10Angiulli F, Folino G. Distributed Nearest Neighbor-Based Conden- sation of Very Large Data Sets. IEEE Trans on Knowledge and Da- ta Engineering, 2007, 19(12): 1593-1606.