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» A general algorithm for data dependence analysis
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LWA
2004
15 years 5 months ago
Modeling Rule Precision
This paper reports first results of an empirical study of the precision of classification rules on an independent test set. We generated a large number of rules using a general co...
Johannes Fürnkranz
KDD
2006
ACM
175views Data Mining» more  KDD 2006»
16 years 4 months ago
A mixture model for contextual text mining
Contextual text mining is concerned with extracting topical themes from a text collection with context information (e.g., time and location) and comparing/analyzing the variations...
Qiaozhu Mei, ChengXiang Zhai
ICML
1996
IEEE
16 years 4 months ago
Learning Relational Concepts with Decision Trees
In this paper, we describe two di erent learning tasks for relational structures. When learning a classi er for structures, the relational structures in the training sets are clas...
Peter Geibel, Fritz Wysotzki
166
Voted
HPCA
1998
IEEE
15 years 8 months ago
Hardware for Speculative Run-Time Parallelization in Distributed Shared-Memory Multiprocessors
Run-time parallelization is often the only way to execute the code in parallel when data dependence information is incomplete at compile time. This situation is common in many imp...
Ye Zhang, Lawrence Rauchwerger, Josep Torrellas
KDD
2009
ACM
239views Data Mining» more  KDD 2009»
16 years 4 months ago
Tell me something I don't know: randomization strategies for iterative data mining
There is a wide variety of data mining methods available, and it is generally useful in exploratory data analysis to use many different methods for the same dataset. This, however...
Heikki Mannila, Kai Puolamäki, Markus Ojala, ...