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KDD
2003
ACM
194views Data Mining» more  KDD 2003»
15 years 11 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
76
Voted
KDD
2002
ACM
140views Data Mining» more  KDD 2002»
15 years 11 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
15 years 11 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»
15 years 11 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
108
Voted
IEEEARES
2009
IEEE
15 years 5 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...