Parallel Mining of Association RulesPresents parallel algorithms addressing the problem of mining association rules on a shared-nothing multiprocessor. Count distribution; Data distribution; Candidate distribution; Trade-offs; Performance evaluation and sensitive analysis; Effect of hash filtering.Agrawal...
In this paper we present a new parallel algorithm for data mining of association rules on shared-memory multiprocessors. We study the degree of parallelism, synchronization, and data locality issues, and present optimizations for fast frequency computation. Experiments show that a significant improvement...
(2002). Parallel Algorithms for Mining Association Rules in Time Series Data. CS24-2002-1 Tech report.Sarker, B.K., Mori, T., Uehara, K., 2003. Parallel algorithms for mining association rules in time series data. In: Proceedings of the International Symposium on Parallel and Distributed ...
网络并行关联规则挖掘 网络释义 1. 并行关联规则挖掘 ...规则挖掘理论的探索;原有算法的改进和新算法的设计;并行关联规则挖掘(Parallel Association Rule Mining);数量关联 … hyb757.blog.163.com|基于12个网页
New algorithms for efficient mining of association rules Li S,Hong S,Ling C.Newalgorithms for efficient mining of associationrules. Proceedings of the 7thSymposium on the Frontiers of Mas-sively Parallel ... Li Shen a,Hong Shen b,Ling Cheng a - 《Information Sciences》 被引量: 130发表: 19...
Scalable Parallel Data Mining for Association Rules. Proposes two parallel formulations of the Apriori algorithm used for computer association rules. Data mining; Parallel processing; Load balance; Scalability. EH Han,Karypis,George - 《IEEE Transactions on Knowledge & Data Engineering》...
Data Mining is used to extract the hidden information from large amount databases. Parallel/distributed computing is used which achieves scalability and improves the performance of compute intensive algorithms. A parallel version of ITL-Mine algorithm is proposed and implemented on distributed memory (sha...
A Inokuchi,T Washio,H Motoda - Springer Berlin Heidelberg 被引量: 1808发表: 2000年 Efficient Mining of Association Rules Using Closed Itemset Lattices An abstract is not available. 来源期刊 Knowledge & Information Systems 研究点推荐 Closed Frequent Gradual Itemsets PGLCM Efficient Parallel Mining ...
Parallel mining of association rules We consider the problem of mining association rules on a shared nothing multiprocessor. We present three algorithms that explore a spectrum of trade-offs b... Agrawal,R.,Shafer,... - 《Knowledge & Data Engineering IEEE Transactions on》 被引量: 2839发表: ...
However, no studies have ever seen the approach of applying hybrid ACO to job-shop problems. Experimental results using benchmark data show improvement comparison with a conventional scheduling technique. 展开 关键词: Ant colony optimization Association rules Cost function Data mining Itemsets Job shop...