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» Graph Mining based on a Data Partitioning Approach
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143
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BMCBI
2010
149views more  BMCBI 2010»
15 years 3 months ago
KID - an algorithm for fast and efficient text mining used to automatically generate a database containing kinetic information o
Background: The amount of available biological information is rapidly increasing and the focus of biological research has moved from single components to networks and even larger ...
Stephanie Heinen, Bernhard Thielen, Dietmar Schomb...
259
Voted
CIKM
2010
Springer
15 years 1 months ago
Mining topic-level influence in heterogeneous networks
Influence is a complex and subtle force that governs the dynamics of social networks as well as the behaviors of involved users. Understanding influence can benefit various applic...
Lu Liu, Jie Tang, Jiawei Han, Meng Jiang, Shiqiang...
150
Voted
DKE
2007
130views more  DKE 2007»
15 years 3 months ago
Enabling access-privacy for random walk based data analysis applications
Random walk graph and Markov chain based models are used heavily in many data and system analysis domains, including web, bioinformatics, and queuing. These models enable the desc...
Ping Lin, K. Selçuk Candan
125
Voted
EMNLP
2010
15 years 1 months ago
Clustering-Based Stratified Seed Sampling for Semi-Supervised Relation Classification
Seed sampling is critical in semi-supervised learning. This paper proposes a clusteringbased stratified seed sampling approach to semi-supervised learning. First, various clusteri...
Longhua Qian, Guodong Zhou
121
Voted
BMCBI
2010
86views more  BMCBI 2010»
15 years 3 months ago
Mining protein loops using a structural alphabet and statistical exceptionality
Background: Protein loops encompass 50% of protein residues in available three-dimensional structures. These regions are often involved in protein functions, e.g. binding site, ca...
Leslie Regad, Juliette Martin, Grégory Nuel...