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» A cross-collection mixture model for comparative text mining
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KDD
2004
ACM
136views Data Mining» more  KDD 2004»
14 years 5 months ago
A cross-collection mixture model for comparative text mining
In this paper, we define and study a novel text mining problem, which we refer to as Comparative Text Mining (CTM). Given a set of comparable text collections, the task of compara...
ChengXiang Zhai, Atulya Velivelli, Bei Yu
KDD
2006
ACM
175views Data Mining» more  KDD 2006»
14 years 5 months ago
A mixture model for contextual text mining
Contextual text mining is concerned with extracting topical themes from a text collection with context information (e.g., time and location) and comparing/analyzing the variations...
Qiaozhu Mei, ChengXiang Zhai
SDM
2007
SIAM
187views Data Mining» more  SDM 2007»
13 years 6 months ago
Topic Models over Text Streams: A Study of Batch and Online Unsupervised Learning
Topic modeling techniques have widespread use in text data mining applications. Some applications use batch models, which perform clustering on the document collection in aggregat...
Arindam Banerjee, Sugato Basu
BIBE
2006
IEEE
184views Bioinformatics» more  BIBE 2006»
13 years 11 months ago
A Language Modeling Text Mining Approach to the Annotation of Protein Community
This paper discusses an ontology based language modeling text mining approach to the annotation of protein community. Communities appear to play an important role in the functional...
Xiaodan Zhang, Daniel Duanqing Wu, Xiaohua Zhou, X...
SDM
2008
SIAM
256views Data Mining» more  SDM 2008»
13 years 6 months ago
Graph Mining with Variational Dirichlet Process Mixture Models
Graph data such as chemical compounds and XML documents are getting more common in many application domains. A main difficulty of graph data processing lies in the intrinsic high ...
Koji Tsuda, Kenichi Kurihara