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Abstract: One of the important problems in data mining is discovering association rules from databases of transactions where each transaction consists of a set of items. The most time consuming operation in this discovery process is the computation of the frequency of the occurrences of interesting subset of items (called candidates) in the database of transactions. To prune the exponentially large space of candidates, most existing algorithms, consider only those candidates that have a user defined... (Update)
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BibTeX entry: (Update)
Han, E.-H.; Karypis, G.; and Kumar, V. 1997. Scalable parallel data mining for association rules. In Proc. of the ACM SIGMOD Conference on Management of Data. http://citeseer.ist.psu.edu/han97scalable.html More
@inproceedings{ han97scalable,
author = "Eui-Hong Han and George Karypis and Vipin Kumar",
title = "Scalable parallel data mining for association rules",
pages = "277--288",
year = "1997",
url = "citeseer.ist.psu.edu/han97scalable.html" }
Citations (may not include all citations):
921
Mining association rules between sets of items in large data..
- Agrawal, Imielinski et al. - 1993 ACM DBLP
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Combinatorial Optimization: Algorithms and Complexity (context) - Papadimitriou, Steiglitz - 1982 ACM
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Mining generalized association rules
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Discovery of multiple--level association rules from large da..
- Han, Fu - 1995
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Discovering frequent episodes in sequences (context) - Mannila, Toivonen et al. - 1995 DBLP
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An efficient algorithm for mining association rules in large.. (context) - Savasere, Omiecinski et al. - 1995 ACM DBLP
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Mining sequential patterns: Generalizations and performance ..
- Srikant, Agrawal - 1996 DBLP
115
Scalable parallel data mining for association rules
- Han, Karypis et al. - 1997 ACM DBLP
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Setoriented mining for association rules in relational datab.. (context) - Houtsma, Swami - 1995
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DBMS research at a crossroads: The vienna update
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Web mining: Pattern discovery from world wide web transactio..
- Mobasher, Jain et al. - 1996
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Introduction to Parallel Computing: Algorithm Design and Ana.. (context) - Kumar, Grama et al. - 1994
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IEEE Transactions on Knowledge and Data Eng (context) - Agrawal, Shafer et al. - 1996
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Quest synthetic data generation code (context) - Data, Project - 1996
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