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» Discovering Case Knowledge Using Data Mining
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129
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RSFDGRC
1999
Springer
194views Data Mining» more  RSFDGRC 1999»
15 years 4 months ago
A Closest Fit Approach to Missing Attribute VAlues in Preterm Birth Data
: In real-life data, in general, many attribute values are missing. Therefore, rule induction requires preprocessing, where missing attribute values are replaced by appropriate val...
Jerzy W. Grzymala-Busse, Witold J. Grzymala-Busse,...
DAWAK
2007
Springer
15 years 6 months ago
Domination Mining and Querying
Abstract. Pareto dominance plays an important role in diverse application domains such as economics and e-commerce, and it is widely being used in multicriteria decision making. In...
Apostolos N. Papadopoulos, Apostolos Lyritsis, Ale...
95
Voted
ICDM
2006
IEEE
134views Data Mining» more  ICDM 2006»
15 years 6 months ago
Fast Frequent Free Tree Mining in Graph Databases
Free tree, as a special graph which is connected, undirected and acyclic, is extensively used in domains such as computational biology, pattern recognition, computer networks, XML...
Peixiang Zhao, Jeffrey Xu Yu
ICDM
2009
IEEE
145views Data Mining» more  ICDM 2009»
14 years 10 months ago
Significance of Episodes Based on Minimal Windows
Discovering episodes, frequent sets of events from a sequence has been an active field in pattern mining. Traditionally, a level-wise approach is used to discover all frequent epis...
Nikolaj Tatti
202
Voted
ICDE
2004
IEEE
115views Database» more  ICDE 2004»
16 years 1 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