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ICSE
2004
IEEE-ACM
14 years 7 months ago
Mining Version Histories to Guide Software Changes
We apply data mining to version histories in order to guide programmers along related changes: "Programmers who changed these functions also changed...." Given a set of e...
Andreas Zeller, Peter Weißgerber, Stephan Di...
GECCO
2004
Springer
102views Optimization» more  GECCO 2004»
14 years 26 days ago
Dynamic and Scalable Evolutionary Data Mining: An Approach Based on a Self-Adaptive Multiple Expression Mechanism
Data mining has recently attracted attention as a set of efficient techniques that can discover patterns from huge data. More recent advancements in collecting massive evolving da...
Olfa Nasraoui, Carlos Rojas, Cesar Cardona
PAKDD
2005
ACM
160views Data Mining» more  PAKDD 2005»
14 years 1 months ago
Improving Mining Quality by Exploiting Data Dependency
The usefulness of the results produced by data mining methods can be critically impaired by several factors such as (1) low quality of data, including errors due to contamination, ...
Fang Chu, Yizhou Wang, Carlo Zaniolo, Douglas Stot...
WECWIS
2002
IEEE
131views ECommerce» more  WECWIS 2002»
14 years 12 days ago
Mining Client-Side Activity for Personalization
“Garbage in. garbage out” is a well-known phrase in computer analysis, and one that comes to mind when mining Web data to draw conclusions about Web users. The challenge is th...
Kurt D. Fenstermacher, Mark Ginsburg
PST
2008
13 years 9 months ago
Utility of Knowledge Extracted from Unsanitized Data when Applied to Sanitized Data
Knowledge discovery systems extract knowledge from data that can be used for making prediction about incomplete data items. Utility is a measure of the usefulness of the discovere...
Michal Sramka, Reihaneh Safavi-Naini, Jörg De...