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127
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KDD
2007
ACM
182views Data Mining» more  KDD 2007»
16 years 1 months ago
A fast algorithm for finding frequent episodes in event streams
Frequent episode discovery is a popular framework for mining data available as a long sequence of events. An episode is essentially a short ordered sequence of event types and the...
Srivatsan Laxman, P. S. Sastry, K. P. Unnikrishnan
105
Voted
ISPD
2005
ACM
130views Hardware» more  ISPD 2005»
15 years 6 months ago
Improved algorithms for link-based non-tree clock networks for skew variability reduction
In the nanometer VLSI technology, the variation effects like manufacturing variation, power supply noise, temperature etc. become very significant. As one of the most vital nets...
Anand Rajaram, David Z. Pan, Jiang Hu
123
Voted
ANOR
2008
171views more  ANOR 2008»
15 years 23 days ago
A branch and bound method for the job-shop problem with sequence-dependent setup times
This paper deals with the job-shop scheduling problem with sequencedependent setup times. We propose a new method to solve the makespan minimization problem to optimality. The met...
Christian Artigues, Dominique Feillet
93
Voted
POPL
2010
ACM
15 years 10 months ago
Semantics and Algorithms for Data-dependent Grammars
Traditional parser generation technologies are incapable of handling the demands of modern programmers. In this paper, we present the design and theory of a new parsing engine, YA...
Yitzhak Mandelbaum, Trevor Jim, David Walker
102
Voted
IFIP12
2009
14 years 10 months ago
Defining a Task's Temporal Domain for Intelligent Calendar Applications
Abstract Intelligent calendar assistants have many years ago attracted researchers from the areas of scheduling, machine learning and human computer interaction. However, all effor...
Anastasios Alexiadis, Ioannis Refanidis