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» A Weighted Utility Framework for Mining Association Rules
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PKDD
2001
Springer
185views Data Mining» more  PKDD 2001»
15 years 2 months ago
Temporal Rule Discovery for Time-Series Satellite Images and Integration with RDB
Feature extraction and knowledge discovery from a large amount of image data such as remote sensing images have become highly required recent years. In this study, a framework for ...
Rie Honda, Osamu Konishi
JUCS
2008
180views more  JUCS 2008»
14 years 9 months ago
The APS Framework For Incremental Learning of Software Agents
Abstract: Adaptive behavior and learning are required of software agents in many application domains. At the same time agents are often supposed to be resource-bounded systems, whi...
Damian Dudek
ICMLA
2004
14 years 11 months ago
Mining interesting contrast rules for a web-based educational system
Web-based educational technologies allow educators to study how students learn (descriptive studies) and which learning strategies are most effective (causal/predictive studies). ...
Behrouz Minaei-Bidgoli, Pang-Ning Tan, William F. ...
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PST
2008
14 years 11 months ago
Utility of Knowledge Extracted from Unsanitized Data when Applied to Sanitized Data
Knowledge discovery systems extract knowledge from data that can be used for making prediction about incomplete data items. Utility is a measure of the usefulness of the discovere...
Michal Sramka, Reihaneh Safavi-Naini, Jörg De...
SDM
2007
SIAM
146views Data Mining» more  SDM 2007»
14 years 11 months ago
ROAM: Rule- and Motif-Based Anomaly Detection in Massive Moving Object Data Sets
With recent advances in sensory and mobile computing technology, enormous amounts of data about moving objects are being collected. One important application with such data is aut...
Xiaolei Li, Jiawei Han, Sangkyum Kim, Hector Gonza...