105views more  DKE 2007»
9 years 10 months ago
On compressing frequent patterns
A major challenge in frequent-pattern mining is the sheer size of its mining results. To compress the frequent patterns, we propose to cluster frequent patterns with a tightness m...
Dong Xin, Jiawei Han, Xifeng Yan, Hong Cheng
103views more  DATAMINE 2007»
9 years 10 months ago
Relational peculiarity-oriented mining
Peculiarity rules are a new type of useful knowledge that can be discovered by searching the relevance among peculiar data. A main task in mining such knowledge is peculiarity iden...
Muneaki Ohshima, Ning Zhong, Yiyu Yao, Chunnian Li...
134views more  JPDC 2008»
9 years 10 months ago
Middleware for data mining applications on clusters and grids
This paper gives an overview of two middleware systems that have been developed over the last 6 years to address the challenges involved in developing parallel and distributed imp...
Leonid Glimcher, Ruoming Jin, Gagan Agrawal
108views more  JISE 2008»
9 years 10 months ago
Efficient Discovery of Frequent Continuities by Projected Window List Technology
Mining frequent patterns in databases is a fundamental and essential problem in data mining research. A continuity is a kind of causal relationship which describes a definite temp...
Kuo-Yu Huang, Chia-Hui Chang, Kuo-Zui Lin
165views more  JCIT 2008»
9 years 10 months ago
Mining Processes using cluster approach for representing workflows
Although much attention is being paid to business Intelligence during the past decades, the design for applying business Intelligence and particularly in a workflow processes is s...
N. P. Kavya, M. V. Sathyanarayana, N. C. Naveen
108views more  JCIT 2008»
9 years 10 months ago
Data Mining for Genetics: A Genetic Algorithm Approach
MINING biological data is an emerging area of intersection between data mining and bioinformatics. Bio-informaticians have been working on the research and development of computat...
G. Madhu, Keshava Reddy
166views more  ISCI 2008»
9 years 10 months ago
Incremental and interactive mining of web traversal patterns
Web mining involves the application of data mining techniques to large amounts of web-related data in order to improve web services. Web traversal pattern mining involves discover...
Yue-Shi Lee, Show-Jane Yen
9 years 10 months ago
Efficient mining of frequent episodes from complex sequences
Discovering patterns with highly significance is an important problem in data mining discipline. An episode is defined to be a partially ordered set of events for a consecutive an...
Kuo-Yu Huang, Chia-Hui Chang
201views more  IJIIDS 2008»
9 years 10 months ago
MALEF: Framework for distributed machine learning and data mining
: Growing importance of distributed data mining techniques has recently attracted attention of researchers in multiagent domain. Several agent-based application have been already c...
Jan Tozicka, Michael Rovatsos, Michal Pechoucek, S...
139views more  ESWA 2006»
9 years 10 months ago
An efficient data mining approach for discovering interesting knowledge from customer transactions
Mining association rules and mining sequential patterns both are to discover customer purchasing behaviors from a transaction database, such that the quality of business decision ...
Show-Jane Yen, Yue-Shi Lee