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KDD
1998
ACM
147views Data Mining» more  KDD 1998»
14 years 2 months ago
ADtrees for Fast Counting and for Fast Learning of Association Rules
Abstract: The problem of discovering association rules in large databases has received considerable research attention. Much research has examined the exhaustive discovery of all a...
Brigham S. Anderson, Andrew W. Moore
ISPW
1996
IEEE
14 years 2 months ago
Feedback, evolution and software technology
A 1968 study of the software process led, inter alia, to the observation that the software process constitutes a feedback system. Attempts at its management and improvement must t...
M. M. Lehman
SIGCOMM
1996
ACM
14 years 2 months ago
On the Relevance of Long-Range Dependence in Network Traffic
There is much experimental evidence that network traffic processes exhibit ubiquitous properties of self-similarity and long-range dependence, i.e., of correlations over a wide ran...
Matthias Grossglauser, Jean-Chrysostome Bolot
SIGMETRICS
1992
ACM
128views Hardware» more  SIGMETRICS 1992»
14 years 2 months ago
MemSpy: Analyzing Memory System Bottlenecks in Programs
To cope with the increasing difference between processor and main memory speeds, modern computer systems use deep memory hierarchies. In the presence of such hierarchies, the perf...
Margaret Martonosi, Anoop Gupta, Thomas E. Anderso...
CEC
2007
IEEE
14 years 1 months ago
Mining association rules from databases with continuous attributes using genetic network programming
Most association rule mining algorithms make use of discretization algorithms for handling continuous attributes. Discretization is a process of transforming a continuous attribute...
Karla Taboada, Eloy Gonzales, Kaoru Shimada, Shing...