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ICTAI
2003
IEEE
15 years 11 months ago
Parallel Mining of Maximal Frequent Itemsets from Databases
In this paper, we propose a parallel algorithm for mining maximal frequent itemsets from databases. A frequent itemset is maximal if none of its supersets is frequent. The new par...
Soon Myoung Chung, Congnan Luo
RIDE
2003
IEEE
15 years 11 months ago
Event Information Extraction Using Link Grammar
In this paper, we present a scheme for identifying instances of events and extracting information about them. The scheme can handle all events with which an action can be associat...
Harsha V. Madhyastha, N. Balakrishnan, K. R. Ramak...
SBACPAD
2003
IEEE
180views Hardware» more  SBACPAD 2003»
15 years 11 months ago
New Parallel Algorithms for Frequent Itemset Mining in Very Large Databases
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
Adriano Veloso, Wagner Meira Jr., Srinivasan Parth...
APWEB
2003
Springer
15 years 11 months ago
Extending a Web Browser with Client-Side Mining
Abstract. We present WBext (Web Browser extended), a web browser extended with client-side mining capabilities. WBext learns sophisticated user interests and browsing habits by tai...
Hongjun Lu, Qiong Luo, Yeuk Kiu Shun
AUSAI
2003
Springer
15 years 11 months ago
Efficiently Mining Frequent Patterns from Dense Datasets Using a Cluster of Computers
Efficient mining of frequent patterns from large databases has been an active area of research since it is the most expensive step in association rules mining. In this paper, we pr...
Yudho Giri Sucahyo, Raj P. Gopalan, Amit Rudra