A Naïve Bayes approach to map customer requirements to product variants

Yue Wang; Mitchell M. Tseng

doi:10.1007/s10845-013-0806-2

A Naïve Bayes approach to map customer requirements to product variants

Journal of Intelligent Manufacturing ◽

10.1007/s10845-013-0806-2 ◽

2013 ◽

Vol 26 (3) ◽

pp. 501-509 ◽

Cited By ~ 25

Author(s):

Yue Wang ◽

Mitchell M. Tseng

Keyword(s):

Naive Bayes ◽

Naïve Bayes ◽

Customer Requirements ◽

Bayes Approach

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Predicting peptide bond conformation using feature selection and the Naive Bayes approach

2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society ◽

10.1109/iembs.2007.4353465 ◽

2007 ◽

Author(s):

Kostas P. Exarchos ◽

Themis P. Exarchos ◽

Costas Papaloukas ◽

Anastassios N. Troganis ◽

Dimitrios I. Fotiadis

Keyword(s):

Feature Selection ◽

Naive Bayes ◽

Peptide Bond ◽

Naïve Bayes ◽

Bayes Approach

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Prediction of Protein Functions from Protein Interaction Networks: A Naïve Bayes Approach

PRICAI 2008: Trends in Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-540-89197-0_73 ◽

2008 ◽

pp. 788-798 ◽

Cited By ~ 3

Author(s):

Cao D. Nguyen ◽

Katheleen J. Gardiner ◽

Duong Nguyen ◽

Krzysztof J. Cios

Keyword(s):

Protein Interaction ◽

Naive Bayes ◽

Naïve Bayes ◽

Protein Interaction Networks ◽

Interaction Networks ◽

Protein Functions ◽

Bayes Approach

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Naive Bayes approach to predict the winner of an ODI cricket game

Journal of Sports Analytics ◽

10.3233/jsa-200436 ◽

2020 ◽

Vol 6 (2) ◽

pp. 75-84

Author(s):

I. Wickramasinghe

Keyword(s):

Naive Bayes ◽

Naïve Bayes ◽

Bayes Approach

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A Global-Model Naive Bayes Approach to the Hierarchical Prediction of Protein Functions

2009 Ninth IEEE International Conference on Data Mining ◽

10.1109/icdm.2009.85 ◽

2009 ◽

Cited By ~ 18

Author(s):

Carlos N. Silla Jr. ◽

Alex A. Freitas

Keyword(s):

Naive Bayes ◽

Naïve Bayes ◽

Global Model ◽

Protein Functions ◽

Bayes Approach

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Q-Learning with Naïve Bayes Approach Towards More Engaging Game Agents

2018 International Conference on Artificial Intelligence and Data Processing (IDAP) ◽

10.1109/idap.2018.8620897 ◽

2018 ◽

Author(s):

Osman Yilmaz ◽

Ufuk Celikcan

Keyword(s):

Naive Bayes ◽

Naïve Bayes ◽

Q Learning ◽

Bayes Approach

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A Naive-Bayes approach to Bolstered error estimation in high-dimensional spaces

2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP) ◽

10.1109/globalsip.2014.7032357 ◽

2014 ◽

Cited By ~ 2

Author(s):

Xingde Jiang ◽

Ulisses Braga-Neto

Keyword(s):

Error Estimation ◽

Naive Bayes ◽

Naïve Bayes ◽

High Dimensional ◽

Bayes Approach

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Naïve Bayes Approach for the Crime Prediction in Data Mining

International Journal of Computer Applications ◽

10.5120/ijca2019918907 ◽

2019 ◽

Vol 178 (14) ◽

pp. 33-37 ◽

Cited By ~ 2

Author(s):

Mrinalini Jangra ◽

Shaveta Kalsi

Keyword(s):

Data Mining ◽

Naive Bayes ◽

Naïve Bayes ◽

Crime Prediction ◽

Bayes Approach

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Using unlabeled data to improve classification in the naive bayes approach: Application to web searches

Journal of Computational Methods in Sciences and Engineering ◽

10.3233/jcm-2004-41-209 ◽

2004 ◽

Vol 4 (1-2) ◽

pp. 65-74 ◽

Cited By ~ 1

Author(s):

Stella M. Salvatierra

Keyword(s):

Naive Bayes ◽

Naïve Bayes ◽

Unlabeled Data ◽

Web Searches ◽

Bayes Approach

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Naive Bayes Approach for Website Classification

Information Technology and Mobile Communication - Communications in Computer and Information Science ◽

10.1007/978-3-642-20573-6_55 ◽

2011 ◽

pp. 323-326 ◽

Cited By ~ 17

Author(s):

R. Rajalakshmi ◽

C. Aravindan

Keyword(s):

Naive Bayes ◽

Naïve Bayes ◽

Bayes Approach

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A hybrid Naive Bayes approach for information filtering

2008 3rd IEEE Conference on Industrial Electronics and Applications ◽

10.1109/iciea.2008.4582666 ◽

2008 ◽

Cited By ~ 2

Author(s):

Raymond Chiong ◽

Lau Bee Theng

Keyword(s):

Naive Bayes ◽

Information Filtering ◽

Naïve Bayes ◽

Bayes Approach

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