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» D-HOTM: distributed higher order text mining
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DGO
2007
192views Education» more  DGO 2007»
13 years 6 months ago
D-HOTM: distributed higher order text mining
We present D-HOTM, a framework for Distributed Higher Order Text Mining based on named entities extracted from textual data that are stored in distributed relational databases. Unl...
William M. Pottenger
ISI
2007
Springer
13 years 10 months ago
Mining Higher-Order Association Rules from Distributed Named Entity Databases
The burgeoning amount of textual data in distributed sources combined with the obstacles involved in creating and maintaining central repositories motivates the need for effective ...
Shenzhi Li, Christopher D. Janneck, Aditya P. Bela...
PKDD
2009
Springer
104views Data Mining» more  PKDD 2009»
13 years 11 months ago
Leveraging Higher Order Dependencies between Features for Text Classification
Murat Can Ganiz, Nikita I. Lytkin, William M. Pott...
KDD
1998
ACM
145views Data Mining» more  KDD 1998»
13 years 8 months ago
Coincidence Detection: A Fast Method for Discovering Higher-Order Correlations in Multidimensional Data
Wepresent a novel, fast methodfor associationminingill high-dimensionaldatasets. OurCoincidence Detection method, which combines random sampling and Chernoff-Hoeffding bounds with...
Evan W. Steeg, Derek A. Robinson, Ed Willis
KDD
2002
ACM
170views Data Mining» more  KDD 2002»
14 years 4 months ago
Enhanced word clustering for hierarchical text classification
In this paper we propose a new information-theoretic divisive algorithm for word clustering applied to text classification. In previous work, such "distributional clustering&...
Inderjit S. Dhillon, Subramanyam Mallela, Rahul Ku...