A New Classification Approach Based on Multiple Classification Rules

Article English OPEN
Zhou, Zhongmei;
(2014)
  • Publisher: Hindawi Limited
  • Journal: Mathematical Problems in Engineering (issn: 1024-123X, eissn: 1563-5147)
  • Publisher copyright policies & self-archiving
  • Related identifiers: doi: 10.1155/2014/818253
  • Subject: TA1-2040 | Mathematics | Engineering (General). Civil engineering (General) | Article Subject | QA1-939
    acm: ComputingMethodologies_PATTERNRECOGNITION

A good classifier can correctly predict new data for which the class label is unknown, so it is important to construct a high accuracy classifier. Hence, classification techniques are much useful in ubiquitous computing. Associative classification achieves higher classi... View more
  • References (26)
    26 references, page 1 of 3

    Han, J., Micheline, K., Pei, J.. Data Mining: Concepts and Techniques. 2011

    Pareek, A., Gupta, M.. Review of data mining techniques in cloud computing database. International Journal of Advanced Computer Research. 2012; 2 (2): 52-55

    Petre, R. S.. Data mining in cloud computing. Database Systems Journal. 2012; 3 (3): 67-71

    Adapa, S., Srinivas, M. K., Harsha Vardhan Varma, A. V. R. K.. A study on cloud computing data mining. International Journal of Innovative Research in Computer and Communication Engineering. 2013; 1 (5): 1232-1237

    Wang, J., Wu, S., Li, G., Wen, C.. An effective semi-supervised clustering framework integrating pairwise constraints and attribute preferences. Computing and Informatics. 2012; 31 (3): 597-612

    Zhang, M., Zhou, Z.. A k-nearest neighbor based algorithm for multi-label classification. ; 2: 718-721

    Elena, B., Luca, C., Paolo, G.. EnBay: a novel pattern-based Bayesian classifier. IEEE Transactions on Knowledge and Data Engineering. 2013; 25 (12): 2780-2795

    Quinlan, J.. C4.5: Programs for Machine Learning. 1993

    Li, Y., James, T. K., Zhou, Z.. Cost-sensitive semi-supervised support vector machine. : 500-505

    Zhou, Z., Liu, X.. Training cost-sensitive neural networks with methods addressing the class imbalance problem. IEEE Transactions on Knowledge and Data Engineering. 2006; 18 (1): 63-77

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