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ICDM
2008
IEEE
143views Data Mining» more  ICDM 2008»
14 years 6 months ago
Exploiting Data Semantics to Discover, Extract, and Model Web Sources
We describe DEIMOS, a system that automatically discovers and models new sources of information. The system exploits four core technologies developed by our group that makes an en...
José Luis Ambite, Craig A. Knoblock, Kristi...
ICDM
2008
IEEE
118views Data Mining» more  ICDM 2008»
14 years 6 months ago
Extension of Partitional Clustering Methods for Handling Mixed Data
Clustering is an active research topic in data mining and different methods have been proposed in the literature. Most of these methods are based on the use of a distance measure ...
Yosr Naïja, Salem Chakhar, Kaouthar Blibech, ...
ICDM
2008
IEEE
117views Data Mining» more  ICDM 2008»
14 years 6 months ago
Semantic Full-Text Search with ESTER: Scalable, Easy, Fast
We present a demo of ESTER, a search engine that combines the ease of use, speed and scalability of full-text search with the powerful semantic capabilities of ontologies. ESTER s...
Holger Bast, Fabian M. Suchanek, Ingmar Weber
ICDM
2008
IEEE
190views Data Mining» more  ICDM 2008»
14 years 6 months ago
Simultaneous Co-segmentation and Predictive Modeling for Large, Temporal Marketing Data
Several marketing problems involve prediction of customer purchase behavior and forecasting future preferences. We consider predictive modeling of large scale, bi-modal or multimo...
Meghana Deodhar, Joydeep Ghosh
ICDM
2008
IEEE
156views Data Mining» more  ICDM 2008»
14 years 6 months ago
Mining Allocating Patterns in One-Sum Weighted Items
An Association Rule (AR) is a common knowledge model in data mining that describes an implicative cooccurring relationship between two disjoint sets of binary-valued transaction d...
Yanbo J. Wang, Xinwei Zheng, Frans Coenen, Cindy Y...
ICDM
2008
IEEE
127views Data Mining» more  ICDM 2008»
14 years 6 months ago
Word Sense Discovery for Web Information Retrieval
Word meaning disambiguation has always been an important problem in many computer science tasks, such as information retrieval and extraction. One of the problems, faced in automa...
Tomasz Nykiel, Henryk Rybinski
ICDM
2008
IEEE
252views Data Mining» more  ICDM 2008»
14 years 6 months ago
Data Mining for Climate Change and Impacts
Knowledge discovery from temporal, spatial and spatiotemporal data is critical for climate change science and climate impacts. Climate statistics is a mature area. However, recent...
Auroop R. Ganguly, Karsten Steinhaeuser
ICDM
2008
IEEE
120views Data Mining» more  ICDM 2008»
14 years 6 months ago
Parameter Tuning for Differential Mining of String Patterns
Constraint-based mining has been proven to be extremely useful for supporting actionable pattern discovery. However, useful conjunctions of constraints that support domain driven ...
Jérémy Besson, Christophe Rigotti, I...