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CIKM
2009
Springer
15 years 10 months ago
Scalable learning of collective behavior based on sparse social dimensions
The study of collective behavior is to understand how individuals behave in a social network environment. Oceans of data generated by social media like Facebook, Twitter, Flickr a...
Lei Tang, Huan Liu
PODS
2010
ACM
173views Database» more  PODS 2010»
15 years 8 months ago
Foundations of schema mapping management
In the last few years, a lot of attention has been paid to the specification and subsequent manipulation of schema mappings, a problem which is of fundamental importance in metad...
Marcelo Arenas, Jorge Pérez, Juan L. Reutte...
SIGMOD
2010
ACM
260views Database» more  SIGMOD 2010»
15 years 8 months ago
Towards proximity pattern mining in large graphs
Mining graph patterns in large networks is critical to a variety of applications such as malware detection and biological module discovery. However, frequent subgraphs are often i...
Arijit Khan, Xifeng Yan, Kun-Lung Wu
VLDB
1998
ACM
147views Database» more  VLDB 1998»
15 years 7 months ago
Scalable Techniques for Mining Causal Structures
Mining for association rules in market basket data has proved a fruitful areaof research. Measures such as conditional probability (confidence) and correlation have been used to i...
Craig Silverstein, Sergey Brin, Rajeev Motwani, Je...
VLDB
1993
ACM
97views Database» more  VLDB 1993»
15 years 7 months ago
Managing Derived Data in the Gaea Scientific DBMS
ract One important aspect of scientific data management is metadata management. Metadata is information about data (e.g., content, source, processing applied, precision). One kind ...
Nabil I. Hachem, Ke Qiu, Michael A. Gennert, Matth...