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» Numbers in Multi-relational Data Mining
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ICDE
2004
IEEE
115views Database» more  ICDE 2004»
16 years 6 months ago
Unordered Tree Mining with Applications to Phylogeny
Frequent structure mining (FSM) aims to discover and extract patterns frequently occurring in structural data, such as trees and graphs. FSM finds many applications in bioinformat...
Dennis Shasha, Jason Tsong-Li Wang, Sen Zhang
ICMLA
2004
15 years 6 months ago
Reducing complexity of rule based models via meta mining
Complexity, or in other words compactness, of models generated by rule learners is one of often neglected issues, although it has a profound effect on the success of any project t...
Lukasz A. Kurgan
CIKM
2005
Springer
15 years 10 months ago
Opportunity map: a visualization framework for fast identification of actionable knowledge
Data mining techniques frequently find a large number of patterns or rules, which make it very difficult for a human analyst to interpret the results and to find the truly interes...
Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Weimin Xia...
JOT
2008
136views more  JOT 2008»
15 years 4 months ago
The Stock Statistics Parser
This paper describes how use the HTMLEditorKit to perform web data mining on stock statistics for listed firms. Our focus is on making use of the web to get information about comp...
Douglas Lyon
168
Voted
VLDB
2005
ACM
136views Database» more  VLDB 2005»
15 years 10 months ago
On k-Anonymity and the Curse of Dimensionality
In recent years, the wide availability of personal data has made the problem of privacy preserving data mining an important one. A number of methods have recently been proposed fo...
Charu C. Aggarwal