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ACMSE
2007
ACM
15 years 9 months ago
Enhancing clustering blog documents by utilizing author/reader comments
Blogs are a new form of internet phenomenon and a vast everincreasing information resource. Mining blog files for information is a very new research direction in data mining. We p...
Beibei Li, Shuting Xu, Jun Zhang
KDD
1995
ACM
135views Data Mining» more  KDD 1995»
15 years 8 months ago
Rough Sets Similarity-Based Learning from Databases
Manydata mining algorithms developed recently are based on inductive learning methods. Very few are based on similarity-based learning. However, similarity-based learning accrues ...
Xiaohua Hu, Nick Cercone
144
Voted
PAKDD
2010
ACM
169views Data Mining» more  PAKDD 2010»
15 years 7 months ago
Correspondence Clustering: An Approach to Cluster Multiple Related Spatial Datasets
Domain experts are frequently interested to analyze multiple related spatial datasets. This capability is important for change analysis and contrast mining. In this paper, a novel ...
Vadeerat Rinsurongkawong, Christoph F. Eick
LREC
2008
166views Education» more  LREC 2008»
15 years 6 months ago
A lexicon for biology and bioinformatics: the BOOTStrep experience
This paper describes the design, implementation and population of a lexical resource for biology and bioinformatics (the BioLexicon) developed within an ongoing European project. ...
Valeria Quochi, Monica Monachini, Riccardo Del Gra...
SDM
2003
SIAM
134views Data Mining» more  SDM 2003»
15 years 6 months ago
Hierarchical Document Clustering using Frequent Itemsets
A major challenge in document clustering is the extremely high dimensionality. For example, the vocabulary for a document set can easily be thousands of words. On the other hand, ...
Benjamin C. M. Fung, Ke Wang, Martin Ester