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RSFDGRC
2005
Springer
190views Data Mining» more  RSFDGRC 2005»
15 years 11 months ago
Finding Rough Set Reducts with SAT
Abstract. Feature selection refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encountered in many areas such as machine...
Richard Jensen, Qiang Shen, Andrew Tuson
WEBI
2005
Springer
15 years 11 months ago
A Semi-Supervised Document Clustering Algorithm Based on EM
Document clustering is a very hard task in Automatic Text Processing since it requires to extract regular patterns from a document collection without a priori knowledge on the cat...
Leonardo Rigutini, Marco Maggini
GECCO
2004
Springer
102views Optimization» more  GECCO 2004»
15 years 10 months ago
Dynamic and Scalable Evolutionary Data Mining: An Approach Based on a Self-Adaptive Multiple Expression Mechanism
Data mining has recently attracted attention as a set of efficient techniques that can discover patterns from huge data. More recent advancements in collecting massive evolving da...
Olfa Nasraoui, Carlos Rojas, Cesar Cardona
MIDDLEWARE
2004
Springer
15 years 10 months ago
On the benefits of decomposing policy engines into components
In order for middleware systems to be adaptive, their properties and services need to support a wide variety of application-specific policies. However, application developers and ...
Konstantin Beznosov
SAC
2010
ACM
15 years 10 months ago
A semantic web-based approach for personalizing news
Hermes is an ontology-based framework for building news personalization services. This framework consists of a news classification phase, which classifies the news, a knowledge ...
Kim Schouten, Philip Ruijgrok, Jethro Borsje, Flav...