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ICDM
2006
IEEE
100views Data Mining» more  ICDM 2006»
15 years 11 months ago
Meta Clustering
Clustering is ill-defined. Unlike supervised learning where labels lead to crisp performance criteria such as accuracy and squared error, clustering quality depends on how the cl...
Rich Caruana, Mohamed Farid Elhawary, Nam Nguyen, ...
ICDM
2006
IEEE
91views Data Mining» more  ICDM 2006»
15 years 11 months ago
Entropy-based Concept Shift Detection
When monitoring sensory data (e.g., from a wearable device) the context oftentimes changes abruptly: people move from one situation (e.g., working quietly in their office) to ano...
Peter Vorburger, Abraham Bernstein
141
Voted
ICDM
2006
IEEE
116views Data Mining» more  ICDM 2006»
15 years 11 months ago
Improving Personalization Solutions through Optimal Segmentation of Customer Bases
On the Web, where the search costs are low and the competition is just a mouse click away, it is crucial to segment the customers intelligently in order to offer more targeted and...
Tianyi Jiang, Alexander Tuzhilin
ICDM
2006
IEEE
176views Data Mining» more  ICDM 2006»
15 years 11 months ago
Razor: mining distance-constrained embedded subtrees
Due to their capability for expressing semantics and relationships among data objects, semi-structured documents have become a common way of representing domain knowledge. Compari...
Henry Tan, Tharam S. Dillon, Fedja Hadzic, Elizabe...
156
Voted
ICMCS
2006
IEEE
235views Multimedia» more  ICMCS 2006»
15 years 11 months ago
An Event-Driven Sports Video Adaptation for the MPEG-21 DIA Framework
We present an event-driven video adaptation system in this paper. Events are detected by audio/video analysis and annotated by the description schemes (DSs) provided by MPEG-7 Mul...
Min Xu, Jiaming Li, Yiqun Hu, Liang-Tien Chia, Bu-...
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