Principles of Data Mining and Knowledge Discovery
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[1] Aidong Zhang,et al. FindOut: Finding Outliers in Very Large Datasets , 2002, Knowledge and Information Systems.
[2] Stephen D. Bay,et al. Detecting Group Differences: Mining Contrast Sets , 2001, Data Mining and Knowledge Discovery.
[3] Heikki Mannila,et al. Levelwise Search and Borders of Theories in Knowledge Discovery , 1997, Data Mining and Knowledge Discovery.
[4] Nimrod Megiddo,et al. Discovery-Driven Exploration of OLAP Data Cubes , 1998, EDBT.
[5] Craig Silverstein,et al. Analysis of a Very Large Altavista Query Log" SRC Technical note #1998-14 , 1998 .
[6] Marek Wojciechowski. Interactive Constraint-Based Sequential Pattern Mining , 2001, ADBIS.
[7] Tomasz Imielinski,et al. Mining association rules between sets of items in large databases , 1993, SIGMOD Conference.
[8] Kenji Yamanishi,et al. Discovering outlier filtering rules from unlabeled data , 2001, KDD 2001.
[9] Amit Singhal,et al. Pivoted document length normalization , 1996, SIGIR 1996.
[10] Ramakrishnan Srikant,et al. Mining quantitative association rules in large relational tables , 1996, SIGMOD '96.
[11] Clara Pizzuti,et al. Fast Outlier Detection in High Dimensional Spaces , 2002, PKDD.
[12] Heikki Mannila,et al. Multiple Uses of Frequent Sets and Condensed Representations (Extended Abstract) , 1996, KDD.
[13] Hans-Peter Kriegel,et al. LOF: identifying density-based local outliers , 2000, SIGMOD '00.
[14] Gerard Salton,et al. Automatic indexing , 1980, ACM '80.
[15] Carla E. Brodley,et al. Identifying and Eliminating Mislabeled Training Instances , 1996, AAAI/IAAI, Vol. 1.
[16] Eyke Hüllermeier. Fuzzy Association Rules: Semantic Issues and Quality Measures , 2001, Fuzzy Days.
[17] H. V. Jagadzsh. Linear Clustering of Objects with Multiple Attributes , 1998 .
[18] Nicolas Pasquier,et al. Efficient Mining of Association Rules Using Closed Itemset Lattices , 1999, Inf. Syst..
[19] Ramakrishnan Srikant,et al. Mining Association Rules with Item Constraints , 1997, KDD.
[20] Yehuda Lindell,et al. A Statistical Theory for Quantitative Association Rules , 1999, KDD '99.
[21] Nimrod Megiddo,et al. Fast indexing method for multidimensional nearest-neighbor search , 1998, Electronic Imaging.
[22] Dimitrios Gunopulos,et al. Constraint-Based Rule Mining in Large, Dense Databases , 1999, Proceedings 15th International Conference on Data Engineering (Cat. No.99CB36337).
[23] Zbigniew R. Struzik,et al. Outlier detection and localisation with wavelet based multifractal formalism , 2000 .
[24] David J. DeWitt,et al. Using a knowledge cache for interactive discovery of association rules , 1999, KDD '99.
[25] Laks V. S. Lakshmanan,et al. Exploratory mining and pruning optimizations of constrained associations rules , 1998, SIGMOD '98.
[26] Giuseppe Psaila,et al. An Extension to SQL for Mining Association Rules , 1998, Data Mining and Knowledge Discovery.
[27] Yasuhiko Morimoto,et al. Mining optimized association rules for numeric attributes , 1996, J. Comput. Syst. Sci..
[28] Tadeusz Morzy,et al. Materialized Data Mining Views , 2000, PKDD.
[29] Christos Faloutsos,et al. Fractals for secondary key retrieval , 1989, PODS.
[30] Witold Pedrycz,et al. Data mining and fuzzy modeling , 1996, Proceedings of North American Fuzzy Information Processing.
[31] Philip S. Yu,et al. Outlier detection for high dimensional data , 2001, SIGMOD '01.
[32] Raymond T. Ng,et al. Algorithms for Mining Distance-Based Outliers in Large Datasets , 1998, VLDB.
[33] Eyke Hüllermeier,et al. Implication-Based Fuzzy Association Rules , 2001, PKDD.
[34] Sridhar Ramaswamy,et al. Efficient algorithms for mining outliers from large data sets , 2000, SIGMOD '00.