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» Frequent term-based text clustering
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KDD
2007
ACM
170views Data Mining» more  KDD 2007»
14 years 5 months ago
From frequent itemsets to semantically meaningful visual patterns
Data mining techniques that are successful in transaction and text data may not be simply applied to image data that contain high-dimensional features and have spatial structures....
Junsong Yuan, Ying Wu, Ming Yang
OTM
2005
Springer
13 years 10 months ago
Web Image Semantic Clustering
This paper provides a novel Web image clustering methodology based on their associated texts. In our approach, the semantics of Web images are firstly represented into vectors of t...
Zhiguo Gong, Leong Hou U, Chan Wa Cheang
APWEB
2010
Springer
13 years 5 months ago
Multi-View Clustering with Web and Linguistic Features for Relation Extraction
Binary semantic relation extraction is particularly useful for various NLP and Web applications. Currently Webbased methods and Linguistic-based methods are two types of leading me...
Yulan Yan, Haibo Li, Yutaka Matsuo, Zhenglu Yang, ...
KDD
2003
ACM
124views Data Mining» more  KDD 2003»
14 years 5 months ago
Information-theoretic co-clustering
Two-dimensional contingency or co-occurrence tables arise frequently in important applications such as text, web-log and market-basket data analysis. A basic problem in contingenc...
Inderjit S. Dhillon, Subramanyam Mallela, Dharmend...
MLDM
2005
Springer
13 years 10 months ago
CorePhrase: Keyphrase Extraction for Document Clustering
Abstract. The ability to discover the topic of a large set of text documents using relevant keyphrases is usually regarded as a very tedious task if done by hand. Automatic keyphra...
Khaled M. Hammouda, Diego N. Matute, Mohamed S. Ka...