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93
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KDD
2005
ACM
103views Data Mining» more  KDD 2005»
16 years 2 months ago
Fast discovery of unexpected patterns in data, relative to a Bayesian network
We consider a model in which background knowledge on a given domain of interest is available in terms of a Bayesian network, in addition to a large database. The mining problem is...
Szymon Jaroszewicz, Tobias Scheffer
DAWAK
2008
Springer
15 years 4 months ago
Mining Conditional Cardinality Patterns for Data Warehouse Query Optimization
Abstract. Data mining algorithms are often embedded in more complex systems, serving as the provider of data for internal decision making within these systems. In this paper we add...
Mikolaj Morzy, Marcin Krystek
133
Voted
WWW
2010
ACM
15 years 9 months ago
HTTP database connector (HDBC): RESTful access to relational databases
Relational databases hold a vast quantity of information and making them accessible to the web is an big challenge. There is a need to make these databases accessible with as litt...
Alexandros Marinos, Erik Wilde, Jiannan Lu
126
Voted
DAWAK
2005
Springer
15 years 7 months ago
A Decremental Algorithm for Maintaining Frequent Itemsets in Dynamic Databases
Data mining and machine learning must confront the problem of pattern maintenance because data updating is a fundamental operation in data management. Most existing data-mining alg...
Shichao Zhang, Xindong Wu, Jilian Zhang, Chengqi Z...
DPD
2010
158views more  DPD 2010»
14 years 11 months ago
DYFRAM: dynamic fragmentation and replica management in distributed database systems
In distributed database systems, tables are frequently fragmented and replicated over a number of sites in order to reduce network communication costs. How to fragment, when to rep...
Jon Olav Hauglid, Norvald H. Ryeng, Kjetil N&oslas...