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Reseach Article

Accessing the Data Efficiently using Prediction of Dynamic Data Algorithm

by Annamalai R, Srikanth J, M Prakash
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 116 - Number 22
Year of Publication: 2015
Authors: Annamalai R, Srikanth J, M Prakash
10.5120/20471-2648

Annamalai R, Srikanth J, M Prakash . Accessing the Data Efficiently using Prediction of Dynamic Data Algorithm. International Journal of Computer Applications. 116, 22 ( April 2015), 39-42. DOI=10.5120/20471-2648

@article{ 10.5120/20471-2648,
author = { Annamalai R, Srikanth J, M Prakash },
title = { Accessing the Data Efficiently using Prediction of Dynamic Data Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { April 2015 },
volume = { 116 },
number = { 22 },
month = { April },
year = { 2015 },
issn = { 0975-8887 },
pages = { 39-42 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume116/number22/20471-2648/ },
doi = { 10.5120/20471-2648 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:57:53.664783+05:30
%A Annamalai R
%A Srikanth J
%A M Prakash
%T Accessing the Data Efficiently using Prediction of Dynamic Data Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 116
%N 22
%P 39-42
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The Internet carries an extensive range of information resources and services throughout the world. Without Internet finding a particular thing, or get details of those things is not possible. In this project the system focused on accessing the data efficiently through offline or online. In addition of this project the proposed system developed an algorithm to differentiate static and dynamic data. It is called prediction of dynamic data algorithm. This project aims to quick access of data and other information. The System Proposals implement this project in android application. With the help of Sqlite Database we store and retrieve the data in the Mobile Application. Sqlite Database is a relational database management system; it is self-contained and most widely deployed Sql database engine in the world. In this project there is no need of internet connectivity if the data is stored in local database. Charge in the device consumes less when compared to the usage of existing system. There is no need for user has to login in the mobile application, it is optional only. It provides Security from the malware content. Thus the data will be secure and protect from viruses.

References
  1. Yahoo! Developer Network. Yahoo query language (YQL) guides 2011. http://developer. yahoo. com/yql/guide/yql_set. pdf.
  2. Moira C. Norrie and Beat Signer. Information server for highly-connected cross-media publishing. Information Systems, 30(7):526-542, November 2003.
  3. Andreas A. Veglis. Modeling cross media publishing. In The Third International Conference on Internet and Web Applications and Services, pages 267 – 272, 2008.
  4. Chen, J. Wu, H. Jian, H. Deng, and Z. Wu 2013. Instant recommendation for web services composition. IEEE Trans. Services Comput. 99,1.
  5. Reto Meier (2009) "Professional Android Application Development" – Wiley Publishing Inc.
  6. Satya Komatineni(2009) "Pro Android" – Apress Publication.
Index Terms

Computer Science
Information Sciences

Keywords

Offline access data Data Retrieval Static Data Dynamic Data Search View.