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ICDM
2002
IEEE
109views Data Mining» more  ICDM 2002»
13 years 10 months ago
Using Text Mining to Infer Semantic Attributes for Retail Data Mining
Current Data Mining techniques usually do not have a mechanism to automatically infer semantic features inherent in the data being “mined”. The semantics are either injected i...
Rayid Ghani, Andrew E. Fano
GFKL
2005
Springer
128views Data Mining» more  GFKL 2005»
13 years 10 months ago
Automatic Extension of Feature-based Semantic Lexicons via Contextual Attributes
We describe how a feature-based semantic lexicon can be automatically extended using large, unstructured text corpora. Experiments are carried out using the lexicon HaGenLex and th...
Chris Biemann, Rainer Osswald
ICDE
1998
IEEE
187views Database» more  ICDE 1998»
14 years 6 months ago
Mining Optimized Association Rules with Categorical and Numeric Attributes
?Mining association rules on large data sets has received considerable attention in recent years. Association rules are useful for determining correlations between attributes of a ...
Rajeev Rastogi, Kyuseok Shim
KDD
1999
ACM
184views Data Mining» more  KDD 1999»
13 years 9 months ago
Mining Optimized Gain Rules for Numeric Attributes
—Association rules are useful for determining correlations between attributes of a relation and have applications in the marketing, financial, and retail sectors. Furthermore, op...
Sergey Brin, Rajeev Rastogi, Kyuseok Shim
KDD
2003
ACM
146views Data Mining» more  KDD 2003»
14 years 5 months ago
Style mining of electronic messages for multiple authorship discrimination: first results
This paper considers the use of computational stylistics for performing authorship attribution of electronic messages, addressing categorization problems with as many as 20 differ...
Shlomo Argamon, Marin Saric, Sterling Stuart Stein