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» Large Scale Data Mining: Challenges and Responses
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HIS
2004
15 years 7 months ago
Hybrid Learning Scheme for Data Mining Applications
Classification of large datasets is a challenging task in Data Mining. In the current work, we propose a novel method that compresses the data and classifies the test data directl...
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agr...
ECOOP
2006
Springer
15 years 9 months ago
The Runtime Structure of Object Ownership
Object-oriented programs often require large heaps to run properly or meet performance goals. They use high-overhead collections, bulky data models, and large caches. Discovering t...
Nick Mitchell
EDBT
2008
ACM
206views Database» more  EDBT 2008»
16 years 6 months ago
Designing an inductive data stream management system: the stream mill experience
There has been much recent interest in on-line data mining. Existing mining algorithms designed for stored data are either not applicable or not effective on data streams, where r...
Hetal Thakkar, Barzan Mozafari, Carlo Zaniolo
KBSE
2010
IEEE
15 years 3 months ago
An experience report on scaling tools for mining software repositories using MapReduce
The need for automated software engineering tools and techniques continues to grow as the size and complexity of studied systems and analysis techniques increase. Software enginee...
Weiyi Shang, Bram Adams, Ahmed E. Hassan
WEBI
2009
Springer
16 years 18 days ago
Data Mining for Malicious Code Detection and Security Applications
: Data mining is the process of posing queries and extracting patterns, often previously unknown from large quantities of data using pattern matching or other reasoning techniques....
Bhavani M. Thuraisingham