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» Mining Very Large Databases
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125
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KDD
2010
ACM
327views Data Mining» more  KDD 2010»
15 years 7 months ago
Cold start link prediction
In the traditional link prediction problem, a snapshot of a social network is used as a starting point to predict, by means of graph-theoretic measures, the links that are likely ...
Vincent Leroy, Berkant Barla Cambazoglu, Francesco...
120
Voted
DEXAW
2004
IEEE
131views Database» more  DEXAW 2004»
15 years 7 months ago
Personalised E-Learning Opportunities - Call for a Pedagogical Domain Knowledge Model
A considerable amount of e-learning content is being delivered via virtual or managed learning environments. These platforms keep track of learners' activities including cont...
Alex G. Büchner, David W. Patterson
WSDM
2012
ACM
214views Data Mining» more  WSDM 2012»
13 years 11 months ago
Selecting actions for resource-bounded information extraction using reinforcement learning
Given a database with missing or uncertain content, our goal is to correct and fill the database by extracting specific information from a large corpus such as the Web, and to d...
Pallika H. Kanani, Andrew K. McCallum
149
Voted
SIGMOD
2004
ACM
162views Database» more  SIGMOD 2004»
16 years 3 months ago
Graph Indexing: A Frequent Structure-based Approach
Graph has become increasingly important in modelling complicated structures and schemaless data such as proteins, chemical compounds, and XML documents. Given a graph query, it is...
Xifeng Yan, Philip S. Yu, Jiawei Han
BSN
2009
IEEE
149views Sensor Networks» more  BSN 2009»
15 years 10 months ago
Optimizing Interval Training Protocols Using Data Mining Decision Trees
— Interval training consists of interl intensity exercises with rest periods. This training well known exercise protocol which helps stre improve one’s cardiovascular fitness. ...
Myung-kyung Suh, Mahsan Rofouei, Ani Nahapetian, W...