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DAWAK
2001
Springer
14 years 1 months ago
A Theoretical Framework for Association Mining Based on the Boolean Retrieval Model
Data mining has been defined as the non- trivial extraction of implicit, previously unknown and potentially useful information from data. Association mining is one of the important...
Peter Bollmann-Sdorra, Aladdin Hafez, Vijay V. Rag...
WISE
2002
Springer
14 years 1 months ago
Discovering Associations in XML Data
—Knowledge inference from semi-structured data can utilize frequent sub structures, in addition to frequency of data items. In fact, the working assumption of the present study i...
Amnon Meisels, Michael Orlov, Tal Maor
AGP
2003
IEEE
14 years 21 days ago
Advanced Backjumping Techniques for Rule Instantiations
Abstract. The interest in the area of non-monotonic reasoning and declarative logic programming is growing rapidly after the recent development of a number of Answer Set Programmin...
Simona Perri, Francesco Scarcello
PADL
2000
Springer
14 years 19 days ago
Calculating a New Data Mining Algorithm for Market Basket Analysis
The general goal of data mining is to extract interesting correlated information from large collection of data. A key computationally-intensive subproblem of data mining involves ...
Zhenjiang Hu, Wei-Ngan Chin, Masato Takeichi
WAIM
2010
Springer
13 years 7 months ago
A Model for Automatic Generation of Multi-partite Graphs from Arbitrary Data
In this paper we propose a generic model to generate basic multi-partite graphs obtained by associations found in arbitrary data. The interest of such a model is to be the formal ...
Ricardo A. Baeza-Yates, Nieves R. Brisaboa, Josep-...