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CIKM
2004
Springer
15 years 9 months ago
Framework and algorithms for trend analysis in massive temporal data sets
Mining massive temporal data streams for significant trends, emerging buzz, and unusually high or low activity is an important problem with several commercial applications. In th...
Sreenivas Gollapudi, D. Sivakumar
KDD
2003
ACM
180views Data Mining» more  KDD 2003»
16 years 4 months ago
Classifying large data sets using SVMs with hierarchical clusters
Support vector machines (SVMs) have been promising methods for classification and regression analysis because of their solid mathematical foundations which convey several salient ...
Hwanjo Yu, Jiong Yang, Jiawei Han
ISLPED
2003
ACM
127views Hardware» more  ISLPED 2003»
15 years 9 months ago
Lightweight set buffer: low power data cache for multimedia application
A new architectural technique to reduce power dissipation in data caches is proposed. In multimedia applications, a major portion of data cache accesses hit in the same cache set ...
Jun Yang 0002, Youtao Zhang
147
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HIPEAC
2007
Springer
15 years 10 months ago
MiDataSets: Creating the Conditions for a More Realistic Evaluation of Iterative Optimization
Abstract. Iterative optimization has become a popular technique to obtain improvements over the default settings in a compiler for performance-critical applications, such as embedd...
Grigori Fursin, John Cavazos, Michael F. P. O'Boyl...
ICPR
2008
IEEE
15 years 10 months ago
A supervised learning approach for imbalanced data sets
This paper presents a new learning approach for pattern classification applications involving imbalanced data sets. In this approach, a clustering technique is employed to resamp...
Giang Hoang Nguyen, Abdesselam Bouzerdoum, Son Lam...