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Title: :  Large Data Set Mining With Naive Bayes Classifier and Association Rule
PaperId: :  10758
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 5 Issue 4 2019
DUI:    16.0415/IJARIIE-10758
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
U Yin Moe Win Lecturer,University of Computer Studies, Kalay

Abstract

Computer Science
Business Data Set; Association Rule Mining; Naïve Bayes Classifier; Apriori algorithm.
Nowadays, large data contains limitless business opportunities. Companies and organizations begin to analyze their stored data to predict their potential customers and business decisions using data mining tools as examples Naïve Bayes Classifier, Association Rule Mining, Decision Tree and other famous algorithms. An mining processing output produced accurate classification result it may help companies leading in its industry. Companies seek to find feasible business intelligences to obtain reliable prediction results. In this paper proposed method used an association rule mining to improve Naïve Bayes Classifier. Naïve Bayes Classifier is one of the famous algorithm in large data classification but based on an independent assumptions between features. Association rule mining is standard and useful for discovering relations between inputs in big data analysis. Proposed system use bank marketing data set to illustrate in this work. In general, this work is helpful to all the business data set.

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IJARIIE U Yin Moe Win . "Large Data Set Mining With Naive Bayes Classifier and Association Rule" International Journal Of Advance Research And Innovative Ideas In Education Volume 5 Issue 4 2019 Page 1428-1435
MLA U Yin Moe Win . "Large Data Set Mining With Naive Bayes Classifier and Association Rule." International Journal Of Advance Research And Innovative Ideas In Education 5.4(2019) : 1428-1435.
APA U Yin Moe Win . (2019). Large Data Set Mining With Naive Bayes Classifier and Association Rule. International Journal Of Advance Research And Innovative Ideas In Education, 5(4), 1428-1435.
Chicago U Yin Moe Win . "Large Data Set Mining With Naive Bayes Classifier and Association Rule." International Journal Of Advance Research And Innovative Ideas In Education 5, no. 4 (2019) : 1428-1435.
Oxford U Yin Moe Win . 'Large Data Set Mining With Naive Bayes Classifier and Association Rule', International Journal Of Advance Research And Innovative Ideas In Education, vol. 5, no. 4, 2019, p. 1428-1435. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/Large_Data_Set_Mining__With_Naive_Bayes_Classifier_and_Association_Rule_ijariie10758.pdf (Accessed : ).
Harvard U Yin Moe Win . (2019) 'Large Data Set Mining With Naive Bayes Classifier and Association Rule', International Journal Of Advance Research And Innovative Ideas In Education, 5(4), pp. 1428-1435IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/Large_Data_Set_Mining__With_Naive_Bayes_Classifier_and_Association_Rule_ijariie10758.pdf (Accessed : )
IEEE U Yin Moe Win , "Large Data Set Mining With Naive Bayes Classifier and Association Rule," International Journal Of Advance Research And Innovative Ideas In Education, vol. 5, no. 4, pp. 1428-1435, Jul-Aug 2019. [Online]. Available: http://ijariie.com/AdminUploadPdf/Large_Data_Set_Mining__With_Naive_Bayes_Classifier_and_Association_Rule_ijariie10758.pdf [Accessed : ].
Turabian U Yin Moe Win . "Large Data Set Mining With Naive Bayes Classifier and Association Rule." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 5 number 4 ().
Vancouver U Yin Moe Win . Large Data Set Mining With Naive Bayes Classifier and Association Rule. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2019 [Cited : ]; 5(4) : 1428-1435. Available from: http://ijariie.com/AdminUploadPdf/Large_Data_Set_Mining__With_Naive_Bayes_Classifier_and_Association_Rule_ijariie10758.pdf
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