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VLDB
2007
ACM
155views Database» more  VLDB 2007»
14 years 9 months ago
Towards Graph Containment Search and Indexing
Given a set of model graphs D and a query graph q, containment search aims to find all model graphs g D such that q contains g (q g). Due to the wide adoption of graph models, f...
Chen Chen, Xifeng Yan, Philip S. Yu, Jiawei Han, D...
KDD
1994
ACM
117views Data Mining» more  KDD 1994»
14 years 29 days ago
Application of the TETRAD II Program to the Study of Student Retention in U.S. Colleges
We applied TETRAD II, a causal discovery program developed in Carnegie Mellon University's Department of Philosophy, to a database containing information on 204 U.S. colleges...
Marek J. Druzdze, Clark Glymour
ALT
2003
Springer
14 years 16 days ago
Efficiently Learning the Metric with Side-Information
Abstract. A crucial problem in machine learning is to choose an appropriate representation of data, in a way that emphasizes the relations we are interested in. In many cases this ...
Tijl De Bie, Michinari Momma, Nello Cristianini
JASIS
2007
121views more  JASIS 2007»
13 years 8 months ago
Can citation analysis of Web publications better detect research fronts?
We present evidence that, in some research fields, research published in journals and reported on the Web may collectively represent different evolutionary stages of the field wit...
Dangzhi Zhao, Andreas Strotmann
KDD
2002
ACM
147views Data Mining» more  KDD 2002»
14 years 9 months ago
Visualized Classification of Multiple Sample Types
The goal of the knowledge discovery and data mining is to extract the useful knowledge from the given data. Visualization enables us to find structures, features, patterns, and re...
Li Zhang, Aidong Zhang, Murali Ramanathan