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» Exploring the Power of Links in Data Mining
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KDD
2012
ACM
242views Data Mining» more  KDD 2012»
13 years 2 months ago
Query-driven discovery of semantically similar substructures in heterogeneous networks
Heterogeneous information networks that contain multiple types of objects and links are ubiquitous in the real world, such as bibliographic networks, cyber-physical networks, and ...
Xiao Yu, Yizhou Sun, Peixiang Zhao, Jiawei Han
DILS
2006
Springer
15 years 3 months ago
Improving Text Mining with Controlled Natural Language: A Case Study for Protein Interactions
Linking the biomedical literature to other data resources is notoriously difficult and requires text mining. Text mining aims to automatically extract facts from literature. Since ...
Tobias Kuhn, Loïc Royer, Norbert E. Fuchs, Mi...
88
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ICDM
2009
IEEE
172views Data Mining» more  ICDM 2009»
14 years 9 months ago
Evaluating Statistical Tests for Within-Network Classifiers of Relational Data
Recently a number of modeling techniques have been developed for data mining and machine learning in relational and network domains where the instances are not independent and ide...
Jennifer Neville, Brian Gallagher, Tina Eliassi-Ra...
101
Voted
PAAPP
2007
109views more  PAAPP 2007»
14 years 11 months ago
Relation rule mining
\Web users are nowadays confronted with the huge variety of available information sources whose content is not targeted at any specific group or layer. Recommendation systems aim...
Mehdi Adda, Rokia Missaoui, Petko Valtchev
CHI
2003
ACM
15 years 4 months ago
SeismoSpin: a physical instrument for digital data
SeismoSpin is a novel interactive instrument designed around a “Disc-Jockey/mixer” metaphor that gives seismologists a quick and powerful way to explore earthquake data. The c...
Mark McKelvin, Ragnhild Nestande, Leticia Valdez, ...