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ICDE
2008
IEEE
192views Database» more  ICDE 2008»
14 years 9 months ago
Verifying and Mining Frequent Patterns from Large Windows over Data Streams
Mining frequent itemsets from data streams has proved to be very difficult because of computational complexity and the need for real-time response. In this paper, we introduce a no...
Barzan Mozafari, Hetal Thakkar, Carlo Zaniolo
PROCEDIA
2010
105views more  PROCEDIA 2010»
13 years 6 months ago
Improvement of parallelization efficiency of batch pattern BP training algorithm using Open MPI
The use of tuned collective’s module of Open MPI to improve a parallelization efficiency of parallel batch pattern back propagation training algorithm of a multilayer perceptron...
Volodymyr Turchenko, Lucio Grandinetti, George Bos...
CAISE
2009
Springer
14 years 2 months ago
Pattern Mining in System Logs: Opportunities for Process Improvement
Enterprise systems implementations are often accompanied by changes in the business processes of the organizations in which they take place. However, not all the changes are desira...
Dolev Mezebovsky, Pnina Soffer, Ilan Shimshoni
ICCAD
1998
IEEE
122views Hardware» more  ICCAD 1998»
13 years 11 months ago
Dynamic fault collapsing and diagnostic test pattern generation for sequential circuits
In this paper, we present results for significantly improving the performance of sequential circuit diagnostic test pattern generation (DATPG). Our improvements are achieved by de...
Vamsi Boppana, W. Kent Fuchs
SAC
2004
ACM
14 years 29 days ago
A new algorithm for gap constrained sequence mining
The sequence mining problem consists in finding frequent sequential patterns in a database of time-stamped events. Several application domains require limiting the maximum tempor...
Salvatore Orlando, Raffaele Perego, Claudio Silves...