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PPOPP
2009
ACM
16 years 5 months ago
Serialization sets: a dynamic dependence-based parallel execution model
This paper proposes a new parallel execution model where programmers augment a sequential program with pieces of code called serializers that dynamically map computational operati...
Matthew D. Allen, Srinath Sridharan, Gurindar S. S...
KDD
2008
ACM
167views Data Mining» more  KDD 2008»
16 years 4 months ago
A sequential dual method for large scale multi-class linear svms
Efficient training of direct multi-class formulations of linear Support Vector Machines is very useful in applications such as text classification with a huge number examples as w...
S. Sathiya Keerthi, S. Sundararajan, Kai-Wei Chang...
KDD
2005
ACM
86views Data Mining» more  KDD 2005»
16 years 4 months ago
Probabilistic workflow mining
In several organizations, it has become increasingly popular to document and log the steps that makeup a typical business process. In some situations, a normative workflow model o...
Ricardo Silva, Jiji Zhang, James G. Shanahan
KDD
2004
ACM
114views Data Mining» more  KDD 2004»
16 years 4 months ago
Mining reference tables for automatic text segmentation
Automatically segmenting unstructured text strings into structured records is necessary for importing the information contained in legacy sources and text collections into a data ...
Eugene Agichtein, Venkatesh Ganti
KDD
2002
ACM
126views Data Mining» more  KDD 2002»
16 years 4 months ago
Integrating feature and instance selection for text classification
Instance selection and feature selection are two orthogonal methods for reducing the amount and complexity of data. Feature selection aims at the reduction of redundant features i...
Dimitris Fragoudis, Dimitris Meretakis, Spiros Lik...