IMine: Index Support for Item Set Mining
暂无分享,去创建一个
[1] Andrea Pietracaprina,et al. Mining Frequent Itemsets using Patricia Tries , 2003, FIMI.
[2] Sharad Mehrotra,et al. The hybrid tree: an index structure for high dimensional feature spaces , 1999, Proceedings 15th International Conference on Data Engineering (Cat. No.99CB36337).
[3] Tomasz Imielinski,et al. Database Mining: A Performance Perspective , 1993, IEEE Trans. Knowl. Data Eng..
[4] Jian Pei,et al. Mining frequent patterns without candidate generation , 2000, SIGMOD '00.
[5] R. Bayer,et al. Organization and maintenance of large ordered indices , 1970, SIGFIDET '70.
[6] Beng Chin Ooi,et al. Efficient indexing structures for mining frequent patterns , 2002, Proceedings 18th International Conference on Data Engineering.
[7] Giuseppe Psaila,et al. A New SQL-like Operator for Mining Association Rules , 1996, VLDB.
[8] Gao Cong,et al. Speed-up iterative frequent itemset mining with constraint changes , 2002, 2002 IEEE International Conference on Data Mining, 2002. Proceedings..
[9] Ada Wai-Chee Fu,et al. Mining frequent itemsets without support threshold: with and without item constraints , 2004, IEEE Transactions on Knowledge and Data Engineering.
[10] Tomasz Imielinski,et al. Mining association rules between sets of items in large databases , 1993, SIGMOD Conference.
[11] Ramakrishnan Srikant,et al. Mining Association Rules with Item Constraints , 1997, KDD.
[12] Heikki Mannila,et al. Efficient Algorithms for Discovering Association Rules , 1994, KDD Workshop.
[13] Laks V. S. Lakshmanan,et al. Exploiting succinct constraints using FP-trees , 2002, SKDD.
[14] Hongjun Lu,et al. On computing, storing and querying frequent patterns , 2003, KDD '03.
[15] Osmar R. Zaïane,et al. Inverted matrix: efficient discovery of frequent items in large datasets in the context of interactive mining , 2003, KDD '03.
[16] Guido Moerkotte,et al. Small Materialized Aggregates: A Light Weight Index Structure for Data Warehousing , 1998, VLDB.
[17] Kyuseok Shim,et al. Developing Tightly-Coupled Data Mining Applications on a Relational Database System , 1996, KDD.
[18] Laks V. S. Lakshmanan,et al. Pushing Convertible Constraints in Frequent Itemset Mining , 2004, Data Mining and Knowledge Discovery.
[19] Shamkant B. Navathe,et al. An Efficient Algorithm for Mining Association Rules in Large Databases , 1995, VLDB.
[20] Shalom Tsur,et al. Integrating Data Mining with Relational DBMS: A Tightly-Coupled Approach , 1999, NGITS.
[21] Mohammed J. Zaki. Scalable Algorithms for Association Mining , 2000, IEEE Trans. Knowl. Data Eng..
[22] Gösta Grahne,et al. Efficiently Using Prefix-trees in Mining Frequent Itemsets , 2003, FIMI.
[23] Sunita Sarawagi,et al. Integrating Mining with Relational Database Systems: Alternatives and Implications. , 1998, SIGMOD 1998.
[24] Surajit Chaudhuri,et al. Efficient evaluation of queries with mining predicates , 2002, Proceedings 18th International Conference on Data Engineering.
[25] Rudolf Bayer,et al. Organization and maintenance of large ordered indexes , 1972, Acta Informatica.
[26] Elena Baralis,et al. Index support for frequent itemset mining in a relational DBMS , 2005, 21st International Conference on Data Engineering (ICDE'05).
[27] Gösta Grahne,et al. Mining frequent itemsets from secondary memory , 2004, Fourth IEEE International Conference on Data Mining (ICDM'04).
[28] Ganesh Ramesh,et al. Indexing and Data Access Methods for Database Mining , 2002, DMKD.
[29] Hannu Toivonen,et al. Sampling Large Databases for Association Rules , 1996, VLDB.
[30] Wei Wang,et al. DMQL: A Data Mining Query Language for Relational Databases , 2007 .
[31] Jean-François Boulicaut,et al. A Comparison between Query Languages for the Extraction of Association Rules , 2002, DaWaK.
[32] Hiroki Arimura,et al. LCM ver. 2: Efficient Mining Algorithms for Frequent/Closed/Maximal Itemsets , 2004, FIMI.