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» Mining for Useful Association Rules Using the ATMS
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AUSAI
2003
Springer
14 years 26 days ago
Efficiently Mining Frequent Patterns from Dense Datasets Using a Cluster of Computers
Efficient mining of frequent patterns from large databases has been an active area of research since it is the most expensive step in association rules mining. In this paper, we pr...
Yudho Giri Sucahyo, Raj P. Gopalan, Amit Rudra
FLAIRS
2004
13 years 9 months ago
Personalization Using Hybrid Data Mining Approaches in E-Business Applications
Effective personalization is greatly demanded in highly heterogeneous and diverse e-commerce domain. In our approach we rely on the idea that an effective personalization techniqu...
Olena Parkhomenko, Yugyung Lee, Chintan Patel
TEC
2008
104views more  TEC 2008»
13 years 7 months ago
Genetic-Fuzzy Data Mining With Divide-and-Conquer Strategy
Data mining is most commonly used in attempts to induce association rules from transaction data. Most previous studies focused on binary-valued transaction data. Transaction data i...
Tzung-Pei Hong, Chun-Hao Chen, Yeong-Chyi Lee, Yu-...
JDWM
2010
139views more  JDWM 2010»
13 years 6 months ago
Mining Frequent Generalized Patterns for Web Personalization in the Presence of Taxonomies
The Web is a continuously evolving environment, since its content is updated on a regular basis. As a result, the traditional usagebased approach to generate recommendations that ...
Panagiotis Giannikopoulos, Iraklis Varlamis, Magda...
ICWSM
2008
13 years 9 months ago
Mining and Visualizing Online Web Content Using BAM: Brand Association Map
In this paper, we describe our Brand Association MapTM (BAM) tool which maps and visualizes the way consumers naturally think and talk about brands across billions of unaided conv...
Navot Akiva, Eliyahu Greitzer, Yakir Krichman, Jon...