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KER
2011
12 years 8 months ago
Data mining: past, present and future
Data mining has become a well established discipline within the domain of Artificial Intelligence (AI) and Knowledge Engineering (KE). It has its roots in machine learning and st...
Frans Coenen
ICTAI
2002
IEEE
13 years 10 months ago
Machine Learning for Software Engineering: Case Studies in Software Reuse
There are many machine learning algorithms currently available. In the 21st century, the problem no longer lies in writing the learner, but in choosing which learners to run on a ...
Justin S. Di Stefano, Tim Menzies
IUI
1998
ACM
13 years 9 months ago
EDEM: Intelligent Agents for Collecting Usage Data and Increasing User Involvement in Development
Expectation-Driven Event Monitoring (EDEM) provides developers with a platform for creating software agents to collect usage data and increase user involvement in the development ...
David M. Hilbert, Jason E. Robbins, David F. Redmi...
COMPSAC
1998
IEEE
13 years 9 months ago
Tools for the Knowledge Analyst: An Information Superiority Visionary Demonstration
This paper describes the application of a suite of innovative information processing and analytic support tools developed at The MITRE Corporation, in some cases as extensions of ...
Mark T. Maybury
PKDD
2010
Springer
127views Data Mining» more  PKDD 2010»
13 years 3 months ago
Software-Defect Localisation by Mining Dataflow-Enabled Call Graphs
Defect localisation is essential in software engineering and is an important task in domain-specific data mining. Existing techniques building on call-graph mining can localise dif...
Frank Eichinger, Klaus Krogmann, Roland Klug, Klem...