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ICDM
2009
IEEE
181views Data Mining» more  ICDM 2009»
13 years 4 months ago
Efficient Discovery of Frequent Correlated Subgraph Pairs
The recent proliferation of graph data in a wide spectrum of applications has led to an increasing demand for advanced data analysis techniques. In view of this, many graph mining ...
Yiping Ke, James Cheng, Jeffrey Xu Yu
KCAP
2003
ACM
13 years 11 months ago
LitLinker: capturing connections across the biomedical literature
The explosive growth in the biomedical literature has made it difficult for researchers to keep up with advancements, even in their own narrow specializations. In addition, this c...
Wanda Pratt, Meliha Yetisgen-Yildiz
BMCBI
2010
154views more  BMCBI 2010»
13 years 6 months ago
LINNAEUS: A species name identification system for biomedical literature
Background: The task of recognizing and identifying species names in biomedical literature has recently been regarded as critical for a number of applications in text and data min...
Martin Gerner, Goran Nenadic, Casey M. Bergman
KDD
2001
ACM
187views Data Mining» more  KDD 2001»
14 years 6 months ago
Random projection in dimensionality reduction: applications to image and text data
Random projections have recently emerged as a powerful method for dimensionality reduction. Theoretical results indicate that the method preserves distances quite nicely; however,...
Ella Bingham, Heikki Mannila
KDD
2009
ACM
185views Data Mining» more  KDD 2009»
14 years 6 months ago
Entity discovery and assignment for opinion mining applications
Opinion mining became an important topic of study in recent years due to its wide range of applications. There are also many companies offering opinion mining services. One proble...
Xiaowen Ding, Bing Liu, Lei Zhang