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» A Heuristic Method for Business Process Model Evaluation
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BMCBI
2007
160views more  BMCBI 2007»
15 years 6 months ago
Identifying protein complexes directly from high-throughput TAP data with Markov random fields
Background: Predicting protein complexes from experimental data remains a challenge due to limited resolution and stochastic errors of high-throughput methods. Current algorithms ...
Wasinee Rungsarityotin, Roland Krause, Arno Sch&ou...
MANSCI
2008
96views more  MANSCI 2008»
15 years 6 months ago
Staffing of Time-Varying Queues to Achieve Time-Stable Performance
Continuing research by Jennings, Mandelbaum, Massey and Whitt (1996), we investigate methods to perform time-dependent staffing for many-server queues. Our aim is to achieve time-...
Zohar Feldman, Avishai Mandelbaum, William A. Mass...
WWW
2003
ACM
16 years 7 months ago
Mining the peanut gallery: opinion extraction and semantic classification of product reviews
The web contains a wealth of product reviews, but sifting through them is a daunting task. Ideally, an opinion mining tool would process a set of search results for a given item, ...
Kushal Dave, Steve Lawrence, David M. Pennock
IR
2006
15 years 6 months ago
Hierarchical clustering of a Finnish newspaper article collection with graded relevance assessments
Search facilitated with agglomerative hierarchical clustering methods was studied in a collection of Finnish newspaper articles (N = 53,893). To allow quick experiments, clustering...
Tuomo Korenius, Jorma Laurikkala, Martti Juhola, K...
PE
2010
Springer
138views Optimization» more  PE 2010»
15 years 4 months ago
Trace data characterization and fitting for Markov modeling
We propose a trace fitting algorithm for Markovian Arrival Processes (MAPs) that can capture statistics of any order of interarrival times between measured events. By studying re...
Giuliano Casale, Eddy Z. Zhang, Evgenia Smirni