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PPOPP
2009
ACM
15 years 10 months ago
Detecting and tolerating asymmetric races
Because data races represent a hard-to-manage class of errors in concurrent programs, numerous approaches to detect them have been proposed and evaluated. We specifically consider...
Paruj Ratanaworabhan, Martin Burtscher, Darko Kiro...
KDD
2005
ACM
170views Data Mining» more  KDD 2005»
15 years 10 months ago
Parallel mining of closed sequential patterns
Discovery of sequential patterns is an essential data mining task with broad applications. Among several variations of sequential patterns, closed sequential pattern is the most u...
Shengnan Cong, Jiawei Han, David A. Padua
NSPW
2003
ACM
15 years 3 months ago
SELF: a transparent security extension for ELF binaries
The ability to analyze and modify binaries is often very useful from a security viewpoint. Security operations one would like to perform on binaries include the ability to extract...
Daniel C. DuVarney, V. N. Venkatakrishnan, Sandeep...
KDD
2009
ACM
180views Data Mining» more  KDD 2009»
15 years 2 months ago
Parallel community detection on large networks with propinquity dynamics
Graphs or networks can be used to model complex systems. Detecting community structures from large network data is a classic and challenging task. In this paper, we propose a nove...
Yuzhou Zhang, Jianyong Wang, Yi Wang, Lizhu Zhou
KDD
2004
ACM
209views Data Mining» more  KDD 2004»
15 years 10 months ago
Tracking dynamics of topic trends using a finite mixture model
In a wide range of business areas dealing with text data streams, including CRM, knowledge management, and Web monitoring services, it is an important issue to discover topic tren...
Satoshi Morinaga, Kenji Yamanishi