UGC Approved Journal no 63975(19)

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Published in:

Volume 6 Issue 6
June-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1906W26


Registration ID:
218938

Page Number

203-212

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Title

CLASSIFICATION OF MESSAGES USING ASSOCIATION RULE MINING FOR DYNAMIC MESSAGE APP IN ANDROID ENVIRONMENT

Abstract

“Dynamic Message App” is an application created dynamically which is used to share notices, messages and schedules of meetings and various other messages which can be shared among users who are using these applications. It will act as a co0mmon screen for users who can share and read messages of all who are using this application. The Dynamic Message App system (DMAS) is developed from the scratch and therefore there is no existing system and no data migration is done. In this paper a dynamic message app system developed which displays the information on any kind of display (as notice board) when any authorized user sends the notice message from his mobile phone. A person can use this application by registering and the details will be stored in the back end for future references. The authorized users who are using this application can use this notice board for writing notices and thus other users can read it and come to know about the happenings. The main objective of this system is to send messages to common screen which has to be displayed drastically and dynamically after classification of messages. This system contains three main parts: First, creation of a dynamic notice board in which the user can register him/her by providing the required credentials. Then the registered user with his unique user ID and password can login, and can send notices/ messages to the screen. In this paper a new method is proposed for classifying text using the association rule mining using digraph model introduced in chapter 3. Association rule mining technique is used to derive feature set from pre-classified text documents. Naïve Bayesian classifier is then used on derived features for final classification. Finally the messages will be displayed dynamically and can be visualized only by other authenticated users.

Key Words

Dynamic Message App, android, data mining, directed graph, path systems, frequent item set, association rule, classification.

Cite This Article

"CLASSIFICATION OF MESSAGES USING ASSOCIATION RULE MINING FOR DYNAMIC MESSAGE APP IN ANDROID ENVIRONMENT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.203-212, June 2019, Available :http://www.jetir.org/papers/JETIR1906W26.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"CLASSIFICATION OF MESSAGES USING ASSOCIATION RULE MINING FOR DYNAMIC MESSAGE APP IN ANDROID ENVIRONMENT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp203-212, June 2019, Available at : http://www.jetir.org/papers/JETIR1906W26.pdf

Publication Details

Published Paper ID: JETIR1906W26
Registration ID: 218938
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier):
Page No: 203-212
Country: Chennai, Tamilnade, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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