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DGO
2007
192views Education» more  DGO 2007»
13 years 9 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
SDM
2003
SIAM
174views Data Mining» more  SDM 2003»
13 years 9 months ago
STAMP: On Discovery of Statistically Important Pattern Repeats in Long Sequential Data
In this paper, we focus on mining periodic patterns allowing some degree of imperfection in the form of random replacement from a perfect periodic pattern. In InfoMiner+, we propo...
Jiong Yang, Wei Wang 0010, Philip S. Yu
JIB
2010
90views more  JIB 2010»
13 years 6 months ago
Enhancing Data Integration with Text Analysis to Find Proteins Implicated in Plant Stress Response
s text mining techniques over Medline abstracts as a method for accessing both these bodies of evidence in a consistent way. In an example use case, we apply our method to create a...
Keywan Hassani-Pak, Roxane Legaie, Catherine Canev...
ICDM
2009
IEEE
154views Data Mining» more  ICDM 2009»
13 years 5 months ago
GSML: A Unified Framework for Sparse Metric Learning
There has been significant recent interest in sparse metric learning (SML) in which we simultaneously learn both a good distance metric and a low-dimensional representation. Unfor...
Kaizhu Huang, Yiming Ying, Colin Campbell
SISAP
2009
IEEE
155views Data Mining» more  SISAP 2009»
14 years 2 months ago
Analyzing Metric Space Indexes: What For?
—It has been a long way since the beginnings of metric space searching, where people coming from algorithmics tried to apply their background to this new paradigm, obtaining vari...
Gonzalo Navarro