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» Process Knowledge and Data Quality Outcomes
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WWW
2008
ACM
14 years 8 months ago
Learning to classify short and sparse text & web with hidden topics from large-scale data collections
This paper presents a general framework for building classifiers that deal with short and sparse text & Web segments by making the most of hidden topics discovered from larges...
Xuan Hieu Phan, Minh Le Nguyen, Susumu Horiguchi
KDD
2004
ACM
150views Data Mining» more  KDD 2004»
14 years 8 months ago
A framework for ontology-driven subspace clustering
Traditional clustering is a descriptive task that seeks to identify homogeneous groups of objects based on the values of their attributes. While domain knowledge is always the bes...
Jinze Liu, Wei Wang 0010, Jiong Yang
ITS
2010
Springer
157views Multimedia» more  ITS 2010»
14 years 21 days ago
A Computational Model of Accelerated Future Learning through Feature Recognition
Accelerated future learning, in which learning proceeds more effectively and more rapidly because of prior learning, is considered to be one of the most interesting measures of ro...
Nan Li, William W. Cohen, Kenneth R. Koedinger
DEXA
2003
Springer
193views Database» more  DEXA 2003»
14 years 1 months ago
Supporting KDD Applications by the k-Nearest Neighbor Join
Abstract. The similarity join has become an important database primitive to support similarity search and data mining. A similarity join combines two sets of complex objects such t...
Christian Böhm, Florian Krebs
COMPSAC
2010
IEEE
13 years 6 months ago
Using Load Tests to Automatically Compare the Subsystems of a Large Enterprise System
Enterprise systems are load tested for every added feature, software updates and periodic maintenance to ensure that the performance demands on system quality, availability and res...
Haroon Malik, Bram Adams, Ahmed E. Hassan, Parmind...