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ICDE
2007
IEEE
179views Database» more  ICDE 2007»
13 years 10 months ago
A New ILP-based Concept Discovery Method for Business Intelligence
In this work, we propose a multi-relational concept discovery method for business intelligence applications. Multi-relational data mining finds interesting patterns that span ove...
Seda Daglar Toprak, Pinar Senkul, Yusuf Kavurucu, ...
KDD
2002
ACM
173views Data Mining» more  KDD 2002»
14 years 4 months ago
LumberJack: Intelligent Discovery and Analysis of Web User Traffic Composition
Web Usage Mining enables new understanding of user goals on the Web. This understanding has broad applications, and traditional mining techniques such as association rules have bee...
Ed Huai-hsin Chi, Adam Rosien, Jeffrey Heer
AMAI
2007
Springer
13 years 4 months ago
Relational concept discovery in structured datasets
Relational datasets, i.e., datasets in which individuals are described both by their own features and by their relations to other individuals, arise from various sources such as d...
Marianne Huchard, Mohamed Rouane Hacene, Cyril Rou...
BIS
2010
165views Business» more  BIS 2010»
13 years 5 months ago
Textractor: A Framework for Extracting Relevant Domain Concepts from Irregular Corporate Textual Datasets
Various information extraction (IE) systems for corporate usage exist. However, none of them target the product development and/or customer service domain, despite significant appl...
Ashwin Ittoo, Laura Maruster, Hans Wortmann, Gosse...
KES
2004
Springer
13 years 9 months ago
Chance Discovery with Emergence of Future Scenarios
A "chance" is an event or a situation significant for making a decision in a complex environment. Since we organized a session of Chance Discovery in KES 2000, the basic...
Yukio Ohsawa