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IJISTA
2008
95views more  IJISTA 2008»
15 years 2 months ago
Mining manufacturing data using genetic algorithm-based feature set decomposition
Data mining methods can be used for discovering interesting patterns in manufacturing databases. These patterns can be used to improve manufacturing processes. However, data accum...
Lior Rokach
TKDE
2008
94views more  TKDE 2008»
15 years 2 months ago
DryadeParent, An Efficient and Robust Closed Attribute Tree Mining Algorithm
In this paper, we present a new tree mining algorithm, DRYADEPARENT, based on the hooking principle first introduced in DRYADE. In the experiments, we demonstrate that the branchin...
Alexandre Termier, Marie-Christine Rousset, Mich&e...
ASC
2011
14 years 10 months ago
Fuzzy sets in machine learning and data mining
Machine learning, data mining, and several related research areas are concerned with methods for the automated induction of models and the extraction of interesting patterns from ...
Eyke Hüllermeier
KDD
2007
ACM
154views Data Mining» more  KDD 2007»
16 years 3 months ago
An event-based framework for characterizing the evolutionary behavior of interaction graphs
Interaction graphs are ubiquitous in many fields such as bioinformatics, sociology and physical sciences. There have been many studies in the literature targeted at studying and m...
Sitaram Asur, Srinivasan Parthasarathy, Duygu Ucar
ICDM
2007
IEEE
199views Data Mining» more  ICDM 2007»
15 years 9 months ago
Discovering Structural Anomalies in Graph-Based Data
The ability to mine data represented as a graph has become important in several domains for detecting various structural patterns. One important area of data mining is anomaly det...
William Eberle, Lawrence B. Holder