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» Mining frequent itemsets in time-varying data streams
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KDD
2001
ACM
216views Data Mining» more  KDD 2001»
15 years 10 months ago
Real world performance of association rule algorithms
This study compares five well-known association rule algorithms using three real-world datasets and an artificial dataset. The experimental results confirm the performance improve...
Zijian Zheng, Ron Kohavi, Llew Mason
ASC
2008
14 years 9 months ago
Info-fuzzy algorithms for mining dynamic data streams
Most data mining algorithms assume static behavior of the incoming data. In the real world, the situation is different and most continuously collected data streams are generated by...
Lior Cohen, Gil Avrahami, Mark Last, Abraham Kande...
DAWAK
2005
Springer
15 years 3 months ago
Automatic Selection of Bitmap Join Indexes in Data Warehouses
The queries defined on data warehouses are complex and use several join operations that induce an expensive computational cost. This cost becomes even more prohibitive when querie...
Kamel Aouiche, Jérôme Darmont, Omar B...
PKDD
2010
Springer
124views Data Mining» more  PKDD 2010»
14 years 8 months ago
Summarising Data by Clustering Items
Abstract. For a book, the title and abstract provide a good first impression of what to expect from it. For a database, getting a first impression is not so straightforward. Whil...
Michael Mampaey, Jilles Vreeken
PAKDD
2005
ACM
161views Data Mining» more  PAKDD 2005»
15 years 3 months ago
Online Algorithms for Mining Inter-stream Associations from Large Sensor Networks
We study the problem of mining frequent value sets from a large sensor network. We discuss how sensor stream data could be represented that facilitates efficient online mining and ...
K. K. Loo, Ivy Tong, Ben Kao