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D. Cheung and Y. Xiao. Effect of Data Skewness in Parallel Mining of Association Rules. In Pacific-Asia Conference on Knowledge Discovery and Data Mining, pages 48--60, 1998.

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Inducing Load Balancing and Efficient Data Distribution Prior .. - Manning, Keane   (Correct)

....Distributed Mining of Association rules (DMA) 5] which is outlined briefly in section 2. DMA performs better the greater the inter site record pattern variation as this can result in fewer duplicate candidate itemsets which in turn can reduce the size and number of messages passed between sites [4, 5]. It is possible to induce non uniform record distribution before applying DMA by considering a centralised database which has been partitioned across the nodes of a parallel system as this gives scope for selecting the destination for data records; an efficient method that provides good ....

D.W.Cheung and Y.Xiao, Effect of Data Skewness in Parallel Mining of Association Rules, PAKDD-98, pp 48-60, 1998.


Parallel and Distributed Association Mining: A Survey - Zaki (1999)   (37 citations)  (Correct)

....was evaluated on a cluster of six workstations connected with a 10Mb Ethernet LAN. Their experiments, tested only for local pruning with count polling, showed a reduction of 75 90 in the candidate set size on each site, and a reduction of 85 90 in the message size. Fast Parallel Cheung and Xiao [12] have recently proposed a parallel version of FDM, called Fast Parallel Mining (FPM) The problem with FDM s polling mechanism is that it requires two rounds of messages in each iteration. One for computing the global supports, and one for broadcasting the frequent itemsets. This two round scheme ....

D. Cheung and Y. Xiao. Effect of data skewness in parallel mining of association rules. In 12nd Pacific-Asia Conference on Knowledge Discovery and Data Mining, April 1998.


On the Tractability of Rule Discovery from Distributed Data - Martin Scholz Artificial   (Correct)

No context found.

D. Cheung and Y. Xiao. Effect of Data Skewness in Parallel Mining of Association Rules. In Pacific-Asia Conference on Knowledge Discovery and Data Mining, pages 48--60, 1998.


Incremental Techniques for Mining Dynamic and.. - Otey, Veloso.. (2003)   (1 citation)  (Correct)

No context found.

D. Cheung and Y. Xiao. Effect of data skewness in parallel mining of association rules. In Proc. of the 4 Pacific-Asia Conference on Knowledge Discovery and Data Mining, pages 48--60, New York, USA, August 1998.


Parallel and Distributed Association Mining: A Survey - Zaki (1999)   (37 citations)  (Correct)

No context found.

D. Cheung and Y. Xiao, "Effect of Data Skewness in Parallel Mining of Association Rules," Proc. Pacific-Asia Conf. Knowledge Discovery and Data Mining, Lecture Notes in Computer Science, Vol. 1394, SpringerVerlag, New York, 1998, pp. 48--60.

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