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» Clustering Improves the Exploration of Graph Mining Results
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SDM
2010
SIAM
217views Data Mining» more  SDM 2010»
14 years 10 months ago
Collaborative Filtering: Weighted Nonnegative Matrix Factorization Incorporating User and Item Graphs
Collaborative filtering is an important topic in data mining and has been widely used in recommendation system. In this paper, we proposed a unified model for collaborative fil...
Quanquan Gu, Jie Zhou, Chris H. Q. Ding
INFOCOM
2006
IEEE
15 years 5 months ago
Collaboration Improves the Connectivity of Wireless Networks
— In the standard approach to studying connectivity, a physical layer is assumed that allows direct transmission between neighbors within some fixed distance. The graph resultin...
Sanquan Song, Dennis Goeckel, Donald F. Towsley
VLDB
2000
ACM
133views Database» more  VLDB 2000»
15 years 3 months ago
Memex: A Browsing Assistant for Collaborative Archiving and Mining of Surf Trails
Keyword indices, topic directories, and link-based rankings are used to search and structure the rapidly growing Web today. Surprisingly little use is made of years of browsing ex...
Soumen Chakrabarti, Sandeep Srivastava, Mallela Su...
BMCBI
2010
178views more  BMCBI 2010»
14 years 12 months ago
An improved method for scoring protein-protein interactions using semantic similarity within the Gene Ontology
Background: Semantic similarity measures are useful to assess the physiological relevance of protein-protein interactions (PPIs). They quantify similarity between proteins based o...
Shobhit Jain, Gary D. Bader
KDD
2002
ACM
147views Data Mining» more  KDD 2002»
16 years 8 days ago
A parallel learning algorithm for text classification
Text classification is the process of classifying documents into predefined categories based on their content. Existing supervised learning algorithms to automatically classify te...
Canasai Kruengkrai, Chuleerat Jaruskulchai