Sciweavers

313 search results - page 55 / 63
» Mining Frequent Itemsets in a Stream
Sort
View
PAKDD
2005
ACM
161views Data Mining» more  PAKDD 2005»
14 years 6 days ago
Online Algorithms for Mining Inter-stream Associations from Large Sensor Networks
We study the problem of mining frequent value sets from a large sensor network. We discuss how sensor stream data could be represented that facilitates efficient online mining and ...
K. K. Loo, Ivy Tong, Ben Kao
KDD
2001
ACM
216views Data Mining» more  KDD 2001»
14 years 7 months ago
Real world performance of association rule algorithms
This study compares five well-known association rule algorithms using three real-world datasets and an artificial dataset. The experimental results confirm the performance improve...
Zijian Zheng, Ron Kohavi, Llew Mason
ICDE
2008
IEEE
154views Database» more  ICDE 2008»
14 years 8 months ago
Butterfly: Protecting Output Privacy in Stream Mining
Abstract-- Privacy preservation in data mining demands protecting both input and output privacy. The former refers to sanitizing the raw data itself before performing mining. The l...
Ting Wang, Ling Liu
KDD
2007
ACM
165views Data Mining» more  KDD 2007»
14 years 7 months ago
Finding low-entropy sets and trees from binary data
The discovery of subsets with special properties from binary data has been one of the key themes in pattern discovery. Pattern classes such as frequent itemsets stress the co-occu...
Eino Hinkkanen, Hannes Heikinheimo, Heikki Mannila...
KBSE
2009
IEEE
14 years 1 months ago
Alattin: Mining Alternative Patterns for Detecting Neglected Conditions
—To improve software quality, static or dynamic verification tools accept programming rules as input and detect their violations in software as defects. As these programming rul...
Suresh Thummalapenta, Tao Xie