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ICDM
2007
IEEE
179views Data Mining» more  ICDM 2007»
14 years 4 months ago
GDClust: A Graph-Based Document Clustering Technique
This paper introduces a new technique of document clustering based on frequent senses. The proposed system, GDClust (Graph-Based Document Clustering) works with frequent senses ra...
M. Shahriar Hossain, Rafal A. Angryk
IUI
2012
ACM
12 years 5 months ago
Effective browsing and serendipitous discovery with an experience-infused browser
In the digital age, users can have perfect recall of their digital experiences. In this paper, we explore how this recall can be leveraged during web browsing. We have built a sys...
Sudheendra Hangal, Abhinay Nagpal, Monica S. Lam
KDD
2009
ACM
347views Data Mining» more  KDD 2009»
14 years 4 months ago
FpViz: a visualizer for frequent pattern mining
Over the past 15 years, numerous algorithms have been proposed for frequent pattern mining as it plays an essential role in many knowledge discovery and data mining (KDD) tasks. M...
Carson Kai-Sang Leung, Christopher L. Carmichael
ICDM
2005
IEEE
125views Data Mining» more  ICDM 2005»
14 years 3 months ago
A Thorough Experimental Study of Datasets for Frequent Itemsets
The discovery of frequent patterns is a famous problem in data mining. While plenty of algorithms have been proposed during the last decade, only a few contributions have tried to...
Frédéric Flouvat, Fabien De Marchi, ...
KDD
2005
ACM
162views Data Mining» more  KDD 2005»
14 years 10 months ago
Discovering frequent topological structures from graph datasets
The problem of finding frequent patterns from graph-based datasets is an important one that finds applications in drug discovery, protein structure analysis, XML querying, and soc...
Ruoming Jin, Chao Wang, Dmitrii Polshakov, Sriniva...