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PAKDD
2009
ACM
96views Data Mining» more  PAKDD 2009»
16 years 1 months ago
Aggregated Subset Mining
The usual data mining setting uses the full amount of data to derive patterns for different purposes. Taking cues from machine learning techniques, we explore ways to divide the d...
Albrecht Zimmermann, Björn Bringmann
INFOCOM
1999
IEEE
15 years 10 months ago
Techniques for Optimizing CORBA Middleware for Distributed Embedded Systems
The distributed embedded systems industry is poised to leverage emerging real-time operating systems, such as Inferno, Windows CE 2.0, and Palm OS, to support mobile communication...
Aniruddha S. Gokhale, Douglas C. Schmidt
WSC
2000
15 years 7 months ago
Variance reduction techniques for value-at-risk with heavy-tailed risk factors
The calculation of value-at-risk (VAR) for large portfolios of complex instruments is among the most demanding and widespread computational challenges facing the financial industr...
Paul Glasserman, Philip Heidelberger, Perwez Shaha...
SBACPAD
2005
IEEE
176views Hardware» more  SBACPAD 2005»
16 years 22 hour ago
Analyzing and Improving Clustering Based Sampling for Microprocessor Simulation
The time required to simulate a complete benchmark program using the cycle-accurate model of a microprocessor can be prohibitively high. One of the proposed methodologies, represe...
Yue Luo, Ajay Joshi, Aashish Phansalkar, Lizy Kuri...
VLDB
1998
ACM
147views Database» more  VLDB 1998»
15 years 10 months ago
Scalable Techniques for Mining Causal Structures
Mining for association rules in market basket data has proved a fruitful areaof research. Measures such as conditional probability (confidence) and correlation have been used to i...
Craig Silverstein, Sergey Brin, Rajeev Motwani, Je...