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» Discovery of Influence Sets in Frequently Updated Databases
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TKDE
1998
77views more  TKDE 1998»
13 years 7 months ago
Techniques for Update Handling in the Enhanced Client-Server DBMS
—The Client-Server computing paradigm has significantly influenced the way modern Database Management Systems are designed and built. In such systems, clients maintain data pages...
Alex Delis, Nick Roussopoulos
EDBT
2009
ACM
138views Database» more  EDBT 2009»
14 years 2 months ago
FOGGER: an algorithm for graph generator discovery
To our best knowledge, all existing graph pattern mining algorithms can only mine either closed, maximal or the complete set of frequent subgraphs instead of graph generators whic...
Zhiping Zeng, Jianyong Wang, Jun Zhang, Lizhu Zhou
PKDD
2005
Springer
129views Data Mining» more  PKDD 2005»
14 years 27 days ago
Interestingness is Not a Dichotomy: Introducing Softness in Constrained Pattern Mining
Abstract. The paradigm of pattern discovery based on constraints was introduced with the aim of providing to the user a tool to drive the discovery process towards potentially inte...
Stefano Bistarelli, Francesco Bonchi
DEXA
2008
Springer
132views Database» more  DEXA 2008»
13 years 9 months ago
Efficient Updates for Continuous Skyline Computations
We address the problem of maintaining continuous skyline queries efficiently over dynamic objects with d dimensions. Skyline queries are an important new search capability for mult...
Yu-Ling Hsueh, Roger Zimmermann, Wei-Shinn Ku
ADBIS
2004
Springer
133views Database» more  ADBIS 2004»
14 years 24 days ago
Evaluation of the Mine-Merge Method for Data Mining Query Processing
In this paper we consider concurrent execution of multiple data mining queries in the context of discovery of frequent itemsets. If such data mining queries operate on similar part...
Marek Wojciechowski, Maciej Zakrzewicz