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» Introduction to Data Mining and Knowledge Discovery
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INFORMATICALT
2008
196views more  INFORMATICALT 2008»
14 years 10 months ago
An Efficient and Sensitive Decision Tree Approach to Mining Concept-Drifting Data Streams
Abstract. Data stream mining has become a novel research topic of growing interest in knowledge discovery. Most proposed algorithms for data stream mining assume that each data blo...
Cheng-Jung Tsai, Chien-I Lee, Wei-Pang Yang
KDD
2003
ACM
149views Data Mining» more  KDD 2003»
15 years 10 months ago
Knowledge-based data mining
We describe techniques for combining two types of knowledge systems: expert and machine learning. Both the expert system and the learning system represent information by logical d...
Søren Damgaard, Sholom M. Weiss, Shubir Kap...
TKDE
2002
168views more  TKDE 2002»
14 years 9 months ago
CLARANS: A Method for Clustering Objects for Spatial Data Mining
Spatial data mining is the discovery of interesting relationships and characteristics that may exist implicitly in spatial databases. To this end, this paper has three main contrib...
Raymond T. Ng, Jiawei Han
ACSC
2004
IEEE
15 years 1 months ago
Detecting Privacy and Ethical Sensitivity in Data Mining Results
Knowledge discovery allows considerable insight into data. This brings with it the inherent risk that what is inferred may be private or ethically sensitive. The process of genera...
Peter Fule, John F. Roddick
INFORMATICALT
2002
150views more  INFORMATICALT 2002»
14 years 9 months ago
Application of Data Mining Technique for Diagnosis of Posterior Uveal Melanoma
Application of knowledge discovery in databases (data mining) for medical decision support is discussed in this work. The aim of the study was to use decision support algorithm for...
Darius Jegelevicius, Arunas Lukosevicius, Alvydas ...