HSM: Heterogeneous Subspace Mining in High Dimensional Data
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[1] Jonathan Goldstein,et al. When Is ''Nearest Neighbor'' Meaningful? , 1999, ICDT.
[2] Ira Assent,et al. DUSC: Dimensionality Unbiased Subspace Clustering , 2007, Seventh IEEE International Conference on Data Mining (ICDM 2007).
[3] Dimitrios Gunopulos,et al. Automatic subspace clustering of high dimensional data for data mining applications , 1998, SIGMOD '98.
[4] H. V. Jagadish,et al. Semantic Compression and Pattern Extraction with Fascicles , 1999, VLDB.
[5] Hans-Peter Kriegel,et al. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise , 1996, KDD.
[6] Mohammed J. Zaki. Generating non-redundant association rules , 2000, KDD '00.
[7] Ira Assent,et al. INSCY: Indexing Subspace Clusters with In-Process-Removal of Redundancy , 2008, 2008 Eighth IEEE International Conference on Data Mining.
[8] Mohammed J. Zaki,et al. SCHISM: a new approach for interesting subspace mining , 2004, Fourth IEEE International Conference on Data Mining (ICDM'04).
[9] Hendrik Blockeel,et al. Knowledge Discovery in Databases: PKDD 2003 , 2003, Lecture Notes in Computer Science.
[10] I. Jolliffe. Principal Component Analysis , 2002 .
[11] Ira Assent,et al. Clicks: An effective algorithm for mining subspace clusters in categorical datasets , 2007, Data Knowl. Eng..
[12] Hans-Peter Kriegel,et al. Ranking Interesting Subspaces for Clustering High Dimensional Data , 2003, PKDD.
[13] Ramakrishnan Srikant,et al. Fast algorithms for mining association rules , 1998, VLDB 1998.
[14] Jiawei Han,et al. Data Mining: Concepts and Techniques , 2000 .
[15] Ramakrishnan Srikant,et al. Fast Algorithms for Mining Association Rules in Large Databases , 1994, VLDB.
[16] Hans-Peter Kriegel,et al. Density-Connected Subspace Clustering for High-Dimensional Data , 2004, SDM.
[17] Ira Assent,et al. OutRank: ranking outliers in high dimensional data , 2008, 2008 IEEE 24th International Conference on Data Engineering Workshop.
[18] Ira Assent,et al. EDSC: efficient density-based subspace clustering , 2008, CIKM '08.
[19] Jian Pei,et al. Mining frequent patterns without candidate generation , 2000, SIGMOD 2000.
[20] Jian Pei,et al. CLOSET: An Efficient Algorithm for Mining Frequent Closed Itemsets , 2000, ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery.