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» Introduction to Data Mining and Knowledge Discovery
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ALT
2002
Springer
15 years 6 months ago
Data Mining with Graphical Models
Abstract. The explosion of data stored in commercial or administrational databases calls for intelligent techniques to discover the patterns hidden in them and thus to exploit all ...
Rudolf Kruse, Christian Borgelt
WM
2003
14 years 11 months ago
Knowledge discovery methods
: Coping with complex and dynamic environments forces companies to invest in the resource knowledge for the maintenance of their operational reliability; they have to create and to...
Stefan Smolnik
EDBT
2000
ACM
15 years 2 months ago
Quality Assessment and Uncertainty Handling in Data Mining Process
The KDD process aims at the discovery and extraction of “useful” knowledge (such as interesting patterns, classification, rules etc) from large data repositories. A widely rec...
Maria Halkidi
IAT
2007
IEEE
15 years 4 months ago
An Intelligent Web Agent to Mine Bilingual Parallel Pages via Automatic Discovery of URL Pairing Patterns
This paper describes an intelligent agent to facilitate bitext mining from the Web via automatic discovery of URL pairing patterns (or keys) for retrieving parallel web pages. The...
Chunyu Kit, Jessica Yee Ha Ng
KDD
2003
ACM
210views Data Mining» more  KDD 2003»
15 years 10 months ago
Privacy-preserving k-means clustering over vertically partitioned data
Privacy and security concerns can prevent sharing of data, derailing data mining projects. Distributed knowledge discovery, if done correctly, can alleviate this problem. The key ...
Jaideep Vaidya, Chris Clifton