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» New Algorithms for Fast Discovery of Association Rules
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ISCI
2008
116views more  ISCI 2008»
14 years 9 months ago
Discovery of maximum length frequent itemsets
The use of frequent itemsets has been limited by the high computational cost as well as the large number of resulting itemsets. In many real-world scenarios, however, it is often ...
Tianming Hu, Sam Yuan Sung, Hui Xiong, Qian Fu
SIGMOD
1999
ACM
112views Database» more  SIGMOD 1999»
15 years 2 months ago
A New Method for Similarity Indexing of Market Basket Data
In recent years, many data mining methods have been proposed for finding useful and structured information from market basket data. The association rule model was recently propos...
Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu
KDD
2005
ACM
89views Data Mining» more  KDD 2005»
15 years 10 months ago
Mining risk patterns in medical data
In this paper, we discuss a problem of finding risk patterns in medical data. We define risk patterns by a statistical metric, relative risk, which has been widely used in epidemi...
Jiuyong Li, Ada Wai-Chee Fu, Hongxing He, Jie Chen...
INFOCOM
2006
IEEE
15 years 3 months ago
Detecting Stations Cheating on Backoff Rules in 802.11 Networks Using Sequential Analysis
— As the commercial success of the IEEE 802.11 protocol has made wireless infrastructure widely deployed, user organizations are increasingly concerned about the new vulnerabilit...
Yanxia Rong, Sang Kyu Lee, Hyeong-Ah Choi
JUCS
2008
180views more  JUCS 2008»
14 years 9 months ago
The APS Framework For Incremental Learning of Software Agents
Abstract: Adaptive behavior and learning are required of software agents in many application domains. At the same time agents are often supposed to be resource-bounded systems, whi...
Damian Dudek