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ICDE
2010
IEEE
240views Database» more  ICDE 2010»
15 years 4 months ago
Top-K aggregation queries over large networks
Searching and mining large graphs today is critical to a variety of application domains, ranging from personalized recommendation in social networks, to searches for functional ass...
Xifeng Yan, Bin He, Feida Zhu, Jiawei Han
HICSS
1999
IEEE
153views Biometrics» more  HICSS 1999»
15 years 4 months ago
Search Patterns in Hypertext Exhibits
As access to hypermedia documents becomes generally available, it becomes increasingly important to understand how casual users search for information. We have studied search patt...
Joan C. Nordbotten, Svein Nordbotten
IWANN
1999
Springer
15 years 4 months ago
Using Temporal Neighborhoods to Adapt Function Approximators in Reinforcement Learning
To avoid the curse of dimensionality, function approximators are used in reinforcement learning to learn value functions for individual states. In order to make better use of comp...
R. Matthew Kretchmar, Charles W. Anderson
VLDB
1999
ACM
97views Database» more  VLDB 1999»
15 years 4 months ago
Relational Databases for Querying XML Documents: Limitations and Opportunities
XML is fast emerging as the dominant standard for representing data in the World Wide Web. Sophisticated query engines that allow users to effectively tap the data stored in XML d...
Jayavel Shanmugasundaram, Kristin Tufte, Chun Zhan...
KDD
1998
ACM
147views Data Mining» more  KDD 1998»
15 years 4 months ago
ADtrees for Fast Counting and for Fast Learning of Association Rules
Abstract: The problem of discovering association rules in large databases has received considerable research attention. Much research has examined the exhaustive discovery of all a...
Brigham S. Anderson, Andrew W. Moore