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PAKDD
2009
ACM
96views Data Mining» more  PAKDD 2009»
14 years 2 months ago
Aggregated Subset Mining
The usual data mining setting uses the full amount of data to derive patterns for different purposes. Taking cues from machine learning techniques, we explore ways to divide the d...
Albrecht Zimmermann, Björn Bringmann
IADIS
2009
13 years 5 months ago
Proposed framework for data mining in e-learning: The case of open e-class
Web-based learning environments are extensively used nowadays. These environments maintain and produce vast amounts of data. Such vastness lead to the application of data mining t...
Ioannis Kazanidis, Stavros Valsamidis, Theodosios ...
DAWAK
2000
Springer
13 years 12 months ago
Data Mining Support in Database Management Systems
Abstract. The most popular data mining techniques consist in searching databases for frequently occurring patterns, e.g. association rules, sequential patterns. We argue that in co...
Tadeusz Morzy, Marek Wojciechowski, Maciej Zakrzew...
ESWA
2006
161views more  ESWA 2006»
13 years 7 months ago
Automated trend analysis of proteomics data using an intelligent data mining architecture
Proteomics is a field dedicated to the analysis and identification of proteins within an organism. Within proteomics, two-dimensional electrophoresis (2-DE) is currently unrivalle...
James Malone, Kenneth McGarry, Chris Bowerman