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KDD
2003
ACM
194views Data Mining» more  KDD 2003»
16 years 7 months ago
Finding recent frequent itemsets adaptively over online data streams
A data stream is a massive unbounded sequence of data elements continuously generated at a rapid rate. Consequently, the knowledge embedded in a data stream is more likely to be c...
Joong Hyuk Chang, Won Suk Lee
KDD
2002
ACM
140views Data Mining» more  KDD 2002»
16 years 7 months ago
Mining frequent item sets by opportunistic projection
In this paper, we present a novel algorithm OpportuneProject for mining complete set of frequent item sets by projecting databases to grow a frequent item set tree. Our algorithm ...
Junqiang Liu, Yunhe Pan, Ke Wang, Jiawei Han
HPCA
2008
IEEE
16 years 7 months ago
Automated microprocessor stressmark generation
Estimating the maximum power and thermal characteristics of a processor is essential for designing its power delivery system, packaging, cooling, and power/thermal management sche...
Ajay M. Joshi, Lieven Eeckhout, Lizy Kurian John, ...
SIGMOD
2008
ACM
158views Database» more  SIGMOD 2008»
16 years 6 months ago
Column-stores vs. row-stores: how different are they really?
There has been a significant amount of excitement and recent work on column-oriented database systems ("column-stores"). These database systems have been shown to perfor...
Daniel J. Abadi, Samuel Madden, Nabil Hachem
IEEEARES
2009
IEEE
16 years 1 months ago
Capturing Information Flow with Concatenated Dynamic Taint Analysis
Dynamic taint analysis (DTA) is a technique used for tracking information flow by propagating taint propagation across memory locations during program execution. Most implementat...
Hyung Chan Kim, Angelos D. Keromytis, Michael Covi...