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ICDM
2003
IEEE
143views Data Mining» more  ICDM 2003»
15 years 3 months ago
Active Sampling for Feature Selection
In knowledge discovery applications, where new features are to be added, an acquisition policy can help select the features to be acquired based on their relevance and the cost of...
Sriharsha Veeramachaneni, Paolo Avesani
IRAL
2003
ACM
15 years 3 months ago
Text categorization using automatically acquired domain ontology
In this paper, we describe ontology-based text categorization in which the domain ontologies are automatically acquired through morphological rules and statistical methods. The on...
Shih-Hung Wu, Tzong-Han Tsai, Wen-Lian Hsu
AMINING
2003
Springer
245views Data Mining» more  AMINING 2003»
15 years 3 months ago
Spiral Mining Using Attributes from 3D Molecular Structures
Active responses from experts play an essential role in the knowledge discovery of SAR (structure activity relationships) from drug data. Experts often think of hypotheses, and the...
Takashi Okada, Masumi Yamakawa, Hirotaka Niitsuma
ILP
2003
Springer
15 years 3 months ago
Comparative Evaluation of Approaches to Propositionalization
Propositionalization has already been shown to be a particularly promising approach for robustly and effectively handling relational data sets for knowledge discovery. In this pap...
Mark-A. Krogel, Simon Rawles, Filip Zelezný...
GFKL
2007
Springer
184views Data Mining» more  GFKL 2007»
15 years 1 months ago
FSMTree: An Efficient Algorithm for Mining Frequent Temporal Patterns
Research in the field of knowledge discovery from temporal data recently focused on a new type of data: interval sequences. In contrast to event sequences interval sequences contai...
Steffen Kempe, Jochen Hipp, Rudolf Kruse