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» Text Mining at the Term Level
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144
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KDD
2005
ACM
151views Data Mining» more  KDD 2005»
16 years 4 months ago
Discovering evolutionary theme patterns from text: an exploration of temporal text mining
Temporal Text Mining (TTM) is concerned with discovering temporal patterns in text information collected over time. Since most text information bears some time stamps, TTM has man...
Qiaozhu Mei, ChengXiang Zhai
132
Voted
KDD
2006
ACM
175views Data Mining» more  KDD 2006»
16 years 4 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
ACL
2009
15 years 1 months ago
Extracting Paraphrases of Technical Terms from Noisy Parallel Software Corpora
In this paper, we study the problem of extracting technical paraphrases from a parallel software corpus, namely, a collection of duplicate bug reports. Paraphrase acquisition is a...
Xiaoyin Wang, David Lo, Jing Jiang, Lu Zhang, Hong...
159
Voted
BMCBI
2005
152views more  BMCBI 2005»
15 years 3 months ago
CoPub Mapper: mining MEDLINE based on search term co-publication
Background: High throughput microarray analyses result in many differentially expressed genes that are potentially responsible for the biological process of interest. In order to ...
Blaise T. F. Alako, Antoine Veldhoven, Sjozef van ...
114
Voted
ICDM
2010
IEEE
109views Data Mining» more  ICDM 2010»
15 years 1 months ago
Term Filtering with Bounded Error
Abstract--In this paper, we consider a novel problem referred to as term filtering with bounded error to reduce the term (feature) space by eliminating terms without (or with bound...
Zi Yang, Wei Li, Jie Tang, Juanzi Li