E. Han, G. Karypis, and V. Kumar. Scalable parallel data mining for association rules. In ACM SIGMOD Conference, pages 277--288. ACM Press, 1997. Home/Search Document Details and Download
Summary Related Articles Check |
This paper is cited in the following contexts:
First 50 documents Next 50
Algorithms for Clustering High Dimensional and - Tao (Correct)
No context found.
E. Han, G. Karypis, and V. Kumar. Scalable parallel data mining for association rules. In ACM SIGMOD Conference, pages 277--288. ACM Press, 1997.
Association-Based Similarity Testing and Its Applications - Tao Li Department (Correct)
No context found.
E. Han, G. Karypis, and V. Kumar. Scalable parallel data mining for association rules. In ACM SIGMOD Conference, pages 277--288. ACM Press, 1997.
Estimating Joint Probabilities without - Combinatory Counting April (Correct)
No context found.
Han, E., Karypis, G., & Kumar, V. (1997). Scalable parallel data mining for association rules. Proc. of ACM SIGMOD.
March 2002 - Un Vers Ty (Correct)
No context found.
E. Han, G. Karypis, and V. Kumar. Scalable parallel data mining for association rules. In Proc. of ACM SIGMOD, 1997.
Parallel Mining for Frequent Fragments on a.. - Meinl, Fischer.. (2005) (Correct)
No context found.
Eui-Hong Han, George Karypis, and Vipin Kumar. Scalable Parallel Data Mining for Association Rules. In Proc. 1997.
Efficient Hardware Data Mining with the Apriori Algorithm on.. - Baker, Prasanna (Correct)
No context found.
E.(Sam) Han, G. Karypis, and V. Kumar. Scalable Parallel Data Mining for Association Rules. IEEE Transactions on Knowledge and Data Engineering, 12(3), 2000.
Efficient Parallel Data Mining with the Apriori Algorithm on.. - Baker, Prasanna (Correct)
No context found.
E.(Sam) Han, G. Karypis, and V. Kumar. Scalable Parallel Data Mining for Association Rules. IEEE Transactions on Knowledge and Data Engineering, 12(3), 2000. 15
Multi-Database Mining - Shichao Zhang Xindong (2003) (1 citation) (Correct)
No context found.
E. Han, G. Karypis and V. Kumar, Scalable Parallel Data Mining for association rules. In: Proceedings of ACM SIGMOD, 1997: 277-288.
Identifying Global Exceptional Patterns in - Multi-Database Mining Chengqi (2004) (Correct)
No context found.
E. Han, G. Karypis and V. Kumar, Scalable Parallel Data Mining for association rules. In: Proceedings of the ACM SIGMOD Conference on Management of Data, 1997: 277-288.
A Scalable Multi-Strategy Algorithm for Counting.. - Orlando, Palmerini.. (2002) (Correct)
No context found.
Eui-Hong (Sam) Han, George Karypis, and Vipin Kumar. Scalable Parallel Data Mining for Association Rules. IEEE Transaction on Knowledge and Data Engineering, 12(3):337--352, may/june 2000.
A Scalable Multi-Strategy Algorithm for Counting.. - Orlando, Palmerini.. (2002) (Correct)
No context found.
E. H. Han, G. Karypis, and Kumar V. Scalable Parallel Data Mining for Association Rules. IEEE Transactions on Knowledge and Data Engineering, 12(3):337--352, May/June 2000.
Adaptive and Resource-Aware Mining of Frequent Sets - Orlando Palmerini Perego (2002) (7 citations) (Correct)
No context found.
Eui-Hong (Sam) Han, George Karypis, and Vipin Kumar. Scalable Parallel Data Mining for Association Rules. IEEE Transaction on Knowledge and Data Engineering, 12(3):337--352, may/june 2000.
Adaptive and Resource-Aware Mining of Frequent Sets - Orlando Palmerini Perego (2002) (7 citations) (Correct)
No context found.
E. H. Han, G. Karypis, and Kumar V. Scalable Parallel Data Mining for Association Rules. IEEE Transactions on Knowledge and Data Engineering, 12(3):337--352, May/June 2000.
Shared Memory Parallelization of Data Mining Algorithms.. - Jin, Yang, Agrawal (2004) (1 citation) (Correct)
No context found.
E-H. Han, G. Karypis, and V. Kumar, "Scalable Parallel Datamining for Association Rules," IEEE Trans. Data and Knowledge Eng., vol. 12, no. 3, May/June 2000.
Shared Memory Parallelization of Data Mining Algorithms.. - Jin, Yang, Agrawal (2004) (1 citation) (Correct)
No context found.
E.-H.Han,G.Karypis,andV.Kumar,"ScalableParallel Datamining for Association Rules," Proc. ACM SIGMOD 1997.
Compiler and Middleware Support for Scalable Data Mining - Agrawal, Jin, Li (Correct)
No context found.
E-H. Han, G. Karypis, and V. Kumar. Scalable parallel datamining for association rules. IEEE Transactions on Data and Knowledge Engineering, 12(3), May / June 2000.
Compiler and Middleware Support for Scalable Data Mining - Agrawal, Jin, Li (Correct)
No context found.
E-H. Han, G. Karypis, and V. Kumar. Scalable parallel datamining for association rules. In Proceedings of ACM SIGMOD 1997.
Asynchronous and Anticipatory Filter-Stream Based.. - Veloso.. (2004) (Correct)
No context found.
E. Han, G. Karypis, and V. Kumar. Scalable parallel data mining for association rules. Transactions on Knowledge and Data Engineering, 12(3):728--737, 2000.
An Algorithm for In-Core Frequent Itemset Mining on Streaming.. - Jin, Agrawal (2003) (Correct)
No context found.
E-H. Han, G. Karypis, and V. Kumar. Scalable parallel datamining for association rules. IEEE Transactions on Data and Knowledge Engineering, 12(3), May / June 2000.
Identifying Global Exceptional Patterns in - Multi-Database Mining Chengqi (2004) (Correct)
No context found.
E. Han, G. Karypis and V. Kumar, Scalable Parallel Data Mining for association rules. In: Proceedings of the ACM SIGMOD Conference on Management of Data, 1997: 277-288.
Multi-Database Mining - Zhang, Wu, Zhang (2003) (1 citation) (Correct)
No context found.
E. Han, G. Karypis and V. Kumar, Scalable Parallel Data Mining for association rules. In: Proceedings of ACM SIGMOD, 1997: 277-288.
New Parallel Algorithms for Frequent Itemset.. - Veloso.. (2003) (Correct)
No context found.
E.-H. Han, G. Karypis, and V. Kumar. Scalable parallel data mining for association rules. Transactions on Knowledge and Data Engineering, 12(3):728--737, 2000.
Shared Memory Parallelization of Data Mining Algorithms.. - Jin, Agrawal (2002) (1 citation) (Correct)
No context found.
E-H. Han, G. Karypis, and V. Kumar. Scalable parallel datamining for association rules. IEEE Transactions on Data and Knowledge Engineering, 12(3), May / June 2000.
Shared Memory Parallelization of Data Mining Algorithms.. - Jin, Agrawal (2002) (1 citation) (Correct)
No context found.
E-H. Han, G. Karypis, and V. Kumar. Scalable parallel datamining for association rules. In Proceedings of ACM SIGMOD 1997.
CONQUEST: A Distributed Tool for Constructing Summaries of.. - Chi, Koyuturk, Grama (2004) (Correct)
No context found.
E.-H. Han, G. Karypis, and V. Kumar. Scalable parallel data mining for association rules. pages 277--288, 1997.
First 50 documents Next 50
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC