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ICDM
2010
IEEE
217views Data Mining» more  ICDM 2010»
13 years 7 months ago
Discovering Temporal Features and Relations of Activity Patterns
An important problem that arises during the data mining process in many new emerging application domains is mining data with temporal dependencies. One such application domain is a...
Ehsan Nazerfard, Parisa Rashidi, Diane J. Cook
BMCBI
2006
119views more  BMCBI 2006»
13 years 9 months ago
Hidden Markov Model Variants and their Application
Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
Stephen Winters-Hilt
MASCOTS
2004
13 years 11 months ago
A Computational Complexity-Aware Model for Performance Analysis of Software Servers
Queueing models are routinely used to analyze the performance of software systems. However, contrary to common assumptions, the time that a software server takes to complete jobs ...
Vipul Mathur, Varsha Apte
LION
2010
Springer
209views Optimization» more  LION 2010»
14 years 2 months ago
Feature Extraction from Optimization Data via DataModeler's Ensemble Symbolic Regression
We demonstrate a means of knowledge discovery through feature extraction that exploits the search history of an optimization run. We regress a symbolic model ensemble from optimiza...
Kalyan Veeramachaneni, Katya Vladislavleva, Una-Ma...
EMNLP
2008
13 years 11 months ago
Mining and Modeling Relations between Formal and Informal Chinese Phrases from Web Corpora
We present a novel method for discovering and modeling the relationship between informal Chinese expressions (including colloquialisms and instant-messaging slang) and their forma...
Zhifei Li, David Yarowsky