Mining Classification Rules from Multidimensional Structured Databases
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[1] Roberto J. Bayardo,et al. Efficiently mining long patterns from databases , 1998, SIGMOD '98.
[2] Takashi Washio,et al. Constructing Decision Trees for Graph-Structured Data by Chunkingless Graph-Based Induction , 2006, PAKDD.
[3] Ashwin Srinivasan,et al. Relating chemical activity to structure: An examination of ILP successes , 1995, New Generation Computing.
[4] Jiawei Han,et al. BIDE: efficient mining of frequent closed sequences , 2004, Proceedings. 20th International Conference on Data Engineering.
[5] Qiming Chen,et al. PrefixSpan,: mining sequential patterns efficiently by prefix-projected pattern growth , 2001, Proceedings 17th International Conference on Data Engineering.
[6] Peter A. Flach,et al. Comparative Evaluation of Approaches to Propositionalization , 2003, ILP.
[7] Hiroki Arimura,et al. Optimized Substructure Discovery for Semi-structured Data , 2002, PKDD.
[8] Shinichi Morishita,et al. Transversing itemset lattices with statistical metric pruning , 2000, PODS '00.
[9] Nicolas Pasquier,et al. Discovering Frequent Closed Itemsets for Association Rules , 1999, ICDT.
[10] Wynne Hsu,et al. Integrating Classification and Association Rule Mining , 1998, KDD.
[11] Hiroki Arimura,et al. Discovering Frequent Substructures in Large Unordered Trees , 2003, Discovery Science.
[12] Yun Chi,et al. Mining Closed and Maximal Frequent Subtrees from Databases of Labeled Rooted Trees , 2005, IEEE Trans. Knowl. Data Eng..
[13] Hiroshi Motoda,et al. Constructing a Decision Tree for Graph-Structured Data and its Applications , 2004, Fundam. Informaticae.
[14] Carolina Ruiz,et al. Mining Expressive Temporal Associations from Complex Data , 2005, MLDM.
[15] Thomas Gärtner,et al. Kernels and Distances for Structured Data , 2004, Machine Learning.
[16] Hiroki Arimura,et al. Efficient Substructure Discovery from Large Semi-Structured Data , 2001, IEICE Trans. Inf. Syst..
[17] Hisashi Kashima,et al. Kernel-based discriminative learning algorithms for labeling sequences, trees, and graphs , 2004, ICML '04.
[18] Jiawei Han,et al. CloseGraph: mining closed frequent graph patterns , 2003, KDD '03.
[19] Luc De Raedt,et al. CorClass: Correlated Association Rule Mining for Classification , 2004, Discovery Science.
[20] Peter Clark,et al. The CN2 Induction Algorithm , 1989, Machine Learning.
[21] Ian H. Witten,et al. Data mining: practical machine learning tools and techniques, 3rd Edition , 1999 .
[22] Shinichi Morishita,et al. Answering the Most Correlated N Association Rules Efficiently , 2002, PKDD.
[23] Gerd Stumme,et al. Mining frequent patterns with counting inference , 2000, SKDD.
[24] Albrecht Zimmermann,et al. CTC - correlating tree patterns for classification , 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).
[25] J. Ross Quinlan,et al. C4.5: Programs for Machine Learning , 1992 .
[26] Yun Chi,et al. Frequent Subtree Mining - An Overview , 2004, Fundam. Informaticae.
[27] Hendrik Blockeel,et al. Top-Down Induction of First Order Logical Decision Trees , 1998, AI Commun..
[28] William W. Cohen. Fast Effective Rule Induction , 1995, ICML.
[29] Albrecht Zimmermann,et al. Tree2 - Decision Trees for Tree Structured Data , 2005, LWA.