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» Release Pattern Discovery: A Case Study of Database Systems
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ICDM
2005
IEEE
177views Data Mining» more  ICDM 2005»
14 years 1 months ago
Average Number of Frequent (Closed) Patterns in Bernouilli and Markovian Databases
In data mining, enumerate the frequent or the closed patterns is often the first difficult task leading to the association rules discovery. The number of these patterns represen...
Loïck Lhote, François Rioult, Arnaud S...
DGO
2003
140views Education» more  DGO 2003»
13 years 9 months ago
Social Welfare Program Administration and Evaluation and Policy Analysis Using Knowledge Discovery and Data Mining (KDD) on Admi
New technology in knowledge discovery and data mining (KDD) make it possible to extract valuable information from operational data. Private businesses already use the technology f...
Hye-Chung (Monica) Kum, Dean Duncan, Kimberly Flai...
IWPC
2006
IEEE
14 years 1 months ago
Studying the Evolution of Software Systems Using Change Clusters
In this paper, we present an approach that examines the evolution of code stored in source control repositories. The technique identifies Change Clusters, which can help managers...
Jay Kothari, Ali Shokoufandeh, Spiros Mancoridis, ...
ESE
2002
112views Database» more  ESE 2002»
13 years 7 months ago
An Empirical Method for Selecting Software Reliability Growth Models
Estimating remaining defects or failures in software can help test managers make release decisions during testing. Several methods exist to estimate defect content, among them a v...
Catherine Stringfellow, Anneliese Amschler Andrews
INFSOF
2007
83views more  INFSOF 2007»
13 years 7 months ago
On the design of more secure software-intensive systems by use of attack patterns
Retrofitting security implementations to a released software-intensive system or to a system under development may require significant architectural or coding changes. These late...
Michael Gegick, Laurie Williams