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ALMOB
2006
102views more  ALMOB 2006»
13 years 7 months ago
Mining, compressing and classifying with extensible motifs
Background: Motif patterns of maximal saturation emerged originally in contexts of pattern discovery in biomolecular sequences and have recently proven a valuable notion also in t...
Alberto Apostolico, Matteo Comin, Laxmi Parida
IJISTA
2008
95views more  IJISTA 2008»
13 years 7 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
TAL
2004
Springer
14 years 25 days ago
Ontology-Based Feature Transformations: A Data-Driven Approach
Abstract. We present a novel approach to incorporating semantic information to the problems of natural language processing, in particular to the document classification task. The ...
Filip Ginter, Sampo Pyysalo, Jorma Boberg, Jouni J...
ESANN
2008
13 years 9 months ago
K-nearest neighbours based on mutual information for incomplete data classification
Incomplete data is a common drawback that machine learning techniques need to deal with when solving real-life classification tasks. One of the most popular procedures for solving ...
Pedro J. García-Laencina, José-Luis ...
WMCSA
2003
IEEE
14 years 23 days ago
Proximity Mining: Finding Proximity using Sensor Data History
Emerging ubiquitous and pervasive computing applications often need to know where things are physically located. To meet this need, many locationsensing systems have been develope...
Toshihiro Takada, Satoshi Kurihara, Toshio Hirotsu...