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EACL
2006
ACL Anthology
15 years 3 months ago
Improving Probabilistic Latent Semantic Analysis with Principal Component Analysis
Probabilistic Latent Semantic Analysis (PLSA) models have been shown to provide a better model for capturing polysemy and synonymy than Latent Semantic Analysis (LSA). However, th...
Ayman Farahat, Francine Chen
APSEC
2002
IEEE
15 years 6 months ago
Integrating Use-Case Analysis and Task Analysis for Interactive Systems
This paper presents an integrated process model of use-case driven analysis and task analysis for developing interactive systems. In the process model, an analysis model is develo...
Soon-Kyeong Kim, David A. Carrington
PLDI
1996
ACM
15 years 6 months ago
Commutativity Analysis: A New Analysis Framework for Parallelizing Compilers
This paper presents a new analysis technique, commutativity analysis, for automatically parallelizing computations that manipulate dynamic, pointer-based data structures. Commutat...
Martin C. Rinard, Pedro C. Diniz
ESWA
2007
127views more  ESWA 2007»
15 years 1 months ago
An anticipation model of potential customers' purchasing behavior based on clustering analysis and association rules analysis
This paper proposes an anticipation model of potential customers’ purchasing behavior. This model is inferred from past purchasing behavior of loyal customers and the web server...
Horng-Jinh Chang, Lun-Ping Hung, Chia-Ling Ho
JOI
2010
130views more  JOI 2010»
15 years 10 days ago
Diffusion of latent semantic analysis as a research tool: A social network analysis approach
Latent Semantic Analysis (LSA) is a relatively new research tool with a wide range of applications in different fields ranging from discourse analysis to cognitive science, from i...
Yasar Tonta, Hamid R. Darvish