CFP last date
20 January 2025
Reseach Article

Intuitive Approach to Use Intelligent Database for Prediction

by Prateek Bhatia, Nakul Khurana, Neha Sharma
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 83 - Number 15
Year of Publication: 2013
Authors: Prateek Bhatia, Nakul Khurana, Neha Sharma
10.5120/14527-2923

Prateek Bhatia, Nakul Khurana, Neha Sharma . Intuitive Approach to Use Intelligent Database for Prediction. International Journal of Computer Applications. 83, 15 ( December 2013), 36-40. DOI=10.5120/14527-2923

@article{ 10.5120/14527-2923,
author = { Prateek Bhatia, Nakul Khurana, Neha Sharma },
title = { Intuitive Approach to Use Intelligent Database for Prediction },
journal = { International Journal of Computer Applications },
issue_date = { December 2013 },
volume = { 83 },
number = { 15 },
month = { December },
year = { 2013 },
issn = { 0975-8887 },
pages = { 36-40 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume83/number15/14527-2923/ },
doi = { 10.5120/14527-2923 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:59:42.642404+05:30
%A Prateek Bhatia
%A Nakul Khurana
%A Neha Sharma
%T Intuitive Approach to Use Intelligent Database for Prediction
%J International Journal of Computer Applications
%@ 0975-8887
%V 83
%N 15
%P 36-40
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The concept of Intelligent Databases was introduced in 1980's, as expectations from the conventional databases had increased over the time. A database which could manage information on its own was much anticipated. Over the years, there has been significant development and advances in this field. Different approaches of integrating AI/DB to form an Intelligent Database have been introduced from time to time. The underlying concepts that have been proved separately as well as jointly, are the prime motivations and foundations of this paper. In addition to this, the use of artificial intelligence for prediction/forecasting has led to the conceptual approach of putting together more than two technologies for the betterment of not only our future, but for the next generation of computing. Few different approaches to AI/DB integration have been studied and reported in this paper.

References
  1. Turing, A. "Computing Machinery and Intelligence", MIND,1950.
  2. Nihalani, N. , Silakari, S. , and, Motwani, M. "Integration of Artificial Intelligence and Database Management System: An Inventive Approach for Intelligent Databases". First International Conference on Computational Intelligence, Communication Systems and Networks, 2009.
  3. Morariu, N. , and, Vlad, S. "The Joint Use of Artificial Intelligence Techniques for Diagnostication and Prediction". Journal of Applied Computer Science, 2007.
  4. Halper, F. B. , and, Varsarhelyi, M. A. ,"Intelligent Databases: a program for research and development". Rutgers Accounting Research Center, 1991.
  5. Wu, X. "Building intelligent Learning Database Systems". AI Magazine Vol 21(3),2000.
  6. Sundin,J. ,and Winchester,I. , "Toward Intelligent Databases or Database as Historical Archivist". Archivaria,1982.
  7. McKay, D. P. , Finn, T. W. , and, O'Hare, A. "The Intelligent Database Interface: Integrating AI and Database systems",National Conference on Artificial Intelligence,1990.
  8. Thuraisingham, B. "Integrating Intelligent Database Technology and Trusted Database Technology". Computer Security Journal,1992.
  9. Paulraj Ponniah. "Data Warehousing Fundamentals for IT Professionals" Wiley, 2010.
  10. Bertino,E. ,Catania,B. ,and,Zarri,G. P. ,"Intelligent Database Systems"ACM Press,2001.
  11. Parsaye,K. ,Chingnell,M. ,Khoshafian,S. ,and,Wong,H. "IntelligentDatabases",Wiley,1989.
Index Terms

Computer Science
Information Sciences

Keywords

Database Artificial Intelligence Prediction IDI