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» Graph Mining based on a Data Partitioning Approach
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KDD
2006
ACM
134views Data Mining» more  KDD 2006»
16 years 27 days ago
Learning to rank networked entities
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
Alekh Agarwal, Soumen Chakrabarti, Sunny Aggarwal
SIGMOD
2010
ACM
212views Database» more  SIGMOD 2010»
14 years 11 months ago
Understanding deep web search interfaces: a survey
This paper presents a survey on the major approaches to search interface understanding. The Deep Web consists of data that exist on the Web but are inaccessible via text search en...
Ritu Khare, Yuan An, Il-Yeol Song
130
Voted
PADS
2003
ACM
15 years 5 months ago
Parallel Network Simulation under Distributed Genesis
We describe two major developments in the General Network Simulation Integration System (Genesis): the support for BGP protocol in large network simulations and distribution of th...
Boleslaw K. Szymanski, Yu Liu, Rashim Gupta
KDD
2008
ACM
183views Data Mining» more  KDD 2008»
16 years 27 days ago
Knowledge transfer via multiple model local structure mapping
The effectiveness of knowledge transfer using classification algorithms depends on the difference between the distribution that generates the training examples and the one from wh...
Jing Gao, Wei Fan, Jing Jiang, Jiawei Han
ICDM
2003
IEEE
92views Data Mining» more  ICDM 2003»
15 years 5 months ago
Validating and Refining Clusters via Visual Rendering
Clustering is an important technique for understanding and analysis of large multi-dimensional datasets in many scientific applications. Most of clustering research to date has be...
Keke Chen, Ling Liu