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» Phenomenal Data Mining: From Data to Phenomena
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ASC
2011
13 years 4 months ago
A rough set approach to multiple dataset analysis
In the area of data mining, the discovery of valuable changes and connections (e.g., causality) from multiple data sets has been recognized as an important issue. This issue essen...
Ken Kaneiwa
KDD
2004
ACM
190views Data Mining» more  KDD 2004»
14 years 9 months ago
V-Miner: using enhanced parallel coordinates to mine product design and test data
Analyzing data to find trends, correlations, and stable patterns is an important task in many industrial applications. This paper proposes a new technique based on parallel coordi...
Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Andreas Sc...
PAKDD
1998
ACM
158views Data Mining» more  PAKDD 1998»
14 years 1 months ago
Data Mining Using Dynamically Constructed Recurrent Fuzzy Neural Networks
Abstract. Approaches to data mining proposed so far are mainly symbolic decision trees and numerical feedforward neural networks methods. While decision trees give, in many cases, ...
Yakov Frayman, Lipo Wang
KDD
2007
ACM
155views Data Mining» more  KDD 2007»
14 years 9 months ago
Mining templates from search result records of search engines
Metasearch engine, Comparison-shopping and Deep Web crawling applications need to extract search result records enwrapped in result pages returned from search engines in response ...
Hongkun Zhao, Weiyi Meng, Clement T. Yu
CBMS
2006
IEEE
14 years 3 months ago
Incoporating Data Mining Applications into Clinical Guildelines
Computer based clinical guidelines have been developed to help caregivers in practicing medicine. GLIF3 (Guideline Interchange Format 3) is one of several standards that specify t...
Reza Sherafat Kazemzadeh, Kamran Sartipi