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» Kernels for Semi-Structured Data
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KDD
2005
ACM
157views Data Mining» more  KDD 2005»
14 years 8 months ago
A fast kernel-based multilevel algorithm for graph clustering
Graph clustering (also called graph partitioning) -- clustering the nodes of a graph -- is an important problem in diverse data mining applications. Traditional approaches involve...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
SIGMOD
2008
ACM
144views Database» more  SIGMOD 2008»
14 years 7 months ago
Mining significant graph patterns by leap search
With ever-increasing amounts of graph data from disparate sources, there has been a strong need for exploiting significant graph patterns with user-specified objective functions. ...
Xifeng Yan, Hong Cheng, Jiawei Han, Philip S. Yu
IISWC
2009
IEEE
14 years 2 months ago
Experimental evaluation of N-tier systems: Observation and analysis of multi-bottlenecks
In many areas such as e-commerce, mission-critical N-tier applications have grown increasingly complex. They are characterized by non-stationary workloads (e.g., peak load several...
Simon Malkowski, Markus Hedwig, Calton Pu
ISCA
2008
IEEE
148views Hardware» more  ISCA 2008»
14 years 2 months ago
Atomic Vector Operations on Chip Multiprocessors
The current trend is for processors to deliver dramatic improvements in parallel performance while only modestly improving serial performance. Parallel performance is harvested th...
Sanjeev Kumar, Daehyun Kim, Mikhail Smelyanskiy, Y...
ACSAC
2006
IEEE
14 years 1 months ago
Address Space Layout Permutation (ASLP): Towards Fine-Grained Randomization of Commodity Software
Address space randomization is an emerging and promising method for stopping a broad range of memory corruption attacks. By randomly shifting critical memory regions at process in...
Chongkyung Kil, Jinsuk Jun, Christopher Bookholt, ...