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References (cont')

  • Mining Correlations and Interesting Rules
    • M. Klemettinen, H. Mannila, P. Ronkainen, H. Toivonen, and A. I. Verkamo. Finding interesting rules from large sets of discovered association rules. CIKM'94.
    • S. Brin, R. Motwani, and C. Silverstein. Beyond market basket: Generalizing association rules to correlations. SIGMOD'97.
    • C. Silverstein, S. Brin, R. Motwani, and J. Ullman. Scalable techniques for mining causal structures. VLDB'98.
    • P.-N. Tan, V. Kumar, and J. Srivastava. Selecting the Right Interestingness Measure for Association Patterns. KDD'02.
    • E. Omiecinski. Alternative Interest Measures for Mining Associations. TKDE’03.
    • T. Wu, Y. Chen and J. Han, “Association Mining in Large Databases: A Re-Examination of Its Measures”, PKDD'07
  •  Freq. pattern Mining Applications
    • Y. Huhtala, J. Kärkkäinen, P. Porkka, H. Toivonen. Efficient Discovery of Functional and Approximate Dependencies Using Partitions. ICDE’98.
    • H. V. Jagadish, J. Madar, and R. Ng. Semantic Compression and Pattern Extraction with Fascicles. VLDB'99.
    •  T. Dasu, T. Johnson, S. Muthukrishnan, and V. Shkapenyuk. Mining Database Structure; or How to Build a Data Quality Browser. SIGMOD'02.
    • K. Wang, S. Zhou, J. Han. Profit Mining: From Patterns to Actions. EDBT’02. 

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