Cite this paper
Song, Q. , Guo, Q. , Wang, K. , Du, T. , Qu, S. and Zhang, Y. (2014) A Scheme for Mining State Association Rules of Process Object Based on Big Data. Journal of Computer and Communications
, 17-24. doi: 10.4236/jcc.2014.214002
 Fu, Z.H. (2014) The Development and Characteristics of Big Data.
 Han, J.W. and Kamber, M. (2001) Data Mining: Concepts and Techniques. Morgan Kaufmann Pulishers, Inc., San Francisco.
 Tan, P.N., Steinbach, M. and Kumar, V. (2006) Introduction to Data Mining. Pearson Education, Inc., London, 30-336.
 Rosenstein, M.T. and Choen, P.R. (1998) Concepts from Time Series. Proceedings of the Fifteenth National/Tenth Conference on Artificial Intelligence/Innovative Applications of Artificial Intelligence, Madison, July 1998, 739-745.
 Song, C.Y. and Ge, T.J. (2013) Discovering and Managing Quantitative Association Rules. Proceedings of the 22th ACM International Conference on Information & Knowledge Management, San Francisco Bay Area, 2429-2434.
 Nanopoulos, A., Papadoulos, A.N. and Manolopoulos, Y. (2007) Mining Association Rules in Very Large Clustered Domains. Information Systems, 32, 649-669.
 Yin, S.S., Ma, Z.Q. and Mao, W.D. (2012) Association Rule Algorithm Based on Chain Storage Method of Frequent Itemsets. Computer Engineering and Design, 33, 1002-1007.
 Zhu, Y.Q., Sun, Z.H. and Ji, X.J. (2003) Incremental Updating Algorithm Based on Frequent Pattern Tree for Mining Association Rules. Chinese Journal of Computers, Sciences Press, Beijing, 91-96.
 Zhou, L.J. and Wang, X. (2014) Research on Association Rules Algorithms Based on Cloud Environment. Computer Engineering and Design, 35, 499-503.