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» Mining unexpected multidimensional rules
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DAWAK
1999
Springer
13 years 11 months ago
Implementation of Multidimensional Index Structures for Knowledge Discovery in Relational Databases
Efficient query processing is one of the basic needs for data mining algorithms. Clustering algorithms, association rule mining algorithms and OLAP tools all rely on efficient quer...
Stefan Berchtold, Christian Böhm, Hans-Peter ...
JIIS
2000
111views more  JIIS 2000»
13 years 7 months ago
Multidimensional Index Structures in Relational Databases
Abstract. Efficient query processing is one of the basic needs for data mining algorithms. Clustering algorithms, association rule mining algorithms and OLAP tools all rely on effi...
Christian Böhm, Stefan Berchtold, Hans-Peter ...
AEI
2007
91views more  AEI 2007»
13 years 7 months ago
MICF: An effective sanitization algorithm for hiding sensitive patterns on data mining
Data mining mechanisms have widely been applied in various businesses and manufacturing companies across many industry sectors. Sharing data or sharing mined rules has become a tr...
Yu-Chiang Li, Jieh-Shan Yeh, Chin-Chen Chang
KDD
2002
ACM
109views Data Mining» more  KDD 2002»
14 years 7 months ago
Mining intrusion detection alarms for actionable knowledge
In response to attacks against enterprise networks, administrators increasingly deploy intrusion detection systems. These systems monitor hosts, networks, and other resources for ...
Klaus Julisch, Marc Dacier
PVLDB
2010
80views more  PVLDB 2010»
13 years 5 months ago
Using Sentinel Technology in the TARGIT BI Suite
This paper demonstrates so-called sentinels in the TARGIT BI Suite. Sentinels are a novel type of rules that can warn a user if one or more measure changes in a multi-dimensional ...
Morten Middelfart, Torben Bach Pedersen