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» Discovery of Influence Sets in Frequently Updated Databases
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SIGMOD
2010
ACM
260views Database» more  SIGMOD 2010»
14 years 7 days 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
2007
ACM
141views Database» more  VLDB 2007»
14 years 1 months ago
BlogScope: A System for Online Analysis of High Volume Text Streams
We present BlogScope (www.blogscope.net), a system for online analysis of temporally ordered streaming text, currently applied to the analysis of the Blogosphere1 . The system cur...
Nilesh Bansal, Nick Koudas
KDD
2009
ACM
188views Data Mining» more  KDD 2009»
14 years 8 months ago
Characteristic relational patterns
Research in relational data mining has two major directions: finding global models of a relational database and the discovery of local relational patterns within a database. While...
Arne Koopman, Arno Siebes
SIGMOD
2005
ACM
254views Database» more  SIGMOD 2005»
14 years 7 months ago
Conceptual Partitioning: An Efficient Method for Continuous Nearest Neighbor Monitoring
Given a set of objects P and a query point q, a k nearest neighbor (k-NN) query retrieves the k objects in P that lie closest to q. Even though the problem is well-studied for sta...
Kyriakos Mouratidis, Marios Hadjieleftheriou, Dimi...
GIS
2003
ACM
14 years 8 months ago
The internet spatial spreadsheet: enabling remote visualization of dynamic spatial data and ongoing query results over a network
Moving object databases store and process data for objects that change location frequently. Materialized views maintained over time must be updated to reflect changes due to the m...
Glenn S. Iwerks, Hanan Samet