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Scalable Parallel Data Mining for Association Rules (1997)  (Make Corrections)  (115 citations)
Eui-Hong (Sam) Han, George Karypis, V. Kumar



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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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56:   Fast Algorithms for Mining Association Rules - Agrawal, Srikant - 1994
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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
910   Fast algorithms for mining association rules - Agrawal, Srikant - 1994  ACM
482   Combinatorial Optimization: Algorithms and Complexity (context) - Papadimitriou, Steiglitz - 1982  ACM
268   Mining generalized association rules - Srikant, Agrawal - 1995  ACM   DBLP
213   Discovery of multiple--level association rules from large da.. - Han, Fu - 1995
189   Discovering frequent episodes in sequences (context) - Mannila, Toivonen et al. - 1995  DBLP
164   An efficient algorithm for mining association rules in large.. (context) - Savasere, Omiecinski et al. - 1995  ACM   DBLP
157   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
45   Setoriented mining for association rules in relational datab.. (context) - Houtsma, Swami - 1995
42   DBMS research at a crossroads: The vienna update - Stonebraker, Agrawal et al. - 1993  DBLP
41   Web mining: Pattern discovery from world wide web transactio.. - Mobasher, Jain et al. - 1996
21   Introduction to Parallel Computing: Algorithm Design and Ana.. (context) - Kumar, Grama et al. - 1994
7   IEEE Transactions on Knowledge and Data Eng (context) - Agrawal, Shafer et al. - 1996
4   Quest synthetic data generation code (context) - Data, Project - 1996



The graph only includes citing articles where the year of publication is known.


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Performance Properties of Large Scale Parallel Systems - A. Gupta, et al. (1993)   (Correct)
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Web Mining: Pattern Discovery from World Wide Web.. - Mobasher, Jain, Han.. (1996)   (Correct)

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