Mining fractious chronological Patterns through novel Apriori Approach

Pradeep Chouksey¹

1. Department of Computer Science, Technocrats Institute of Technology, Bhopal, India.

Correspondence should be addressed to: dr.pradeep.chouksey@gmail.com.

Section:Research Paper, Product Type: Isroset-Journal
Vol.4 , Issue.6 , pp.15-20, Dec-2016

Online published on Dec 06, 2016

Copyright © Pradeep Chouksey . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
The purpose of this paper is to present an introduction to Distributed Databases which are becoming very popular now days. Distributed database systems provide an improvement on communication and data processing due to its data distribution throughout different network sites. Not only is data access faster, but a single-point of failure is less likely to occur, and it provides local control of data for users. We present a study of the fundamentals of distributed databases (DDBS). We discuss issues related to the motivations of DDBS, architecture, design, performance, and concurrency control, etc. and also we explore some of the research that has been done in this specific area of DDBS. In this paper we present some research on: query optimization, fragmentation.

Key-Words / Index Term :
Query Optimization; Fragmentation Optimization; Concurrency Control; Recovery

References :
[1] Patrick O’Neil, and Goetz Graefe. 1995. Multi-Table Joins Through
Bitmapped Join Indices. SIGMOD Record,
[2] Ambrose Goicoechea. 2000. Requirements Blueprint and Multiple Criteria For Distributed Database Design. International Council on Systems Engineering (INCOSE)
[3] Yin-Fu Huang, and Jyh-Her Chen. 2001. Fragment Allocation in
Distributed Database Design. Journal of Information Science and
Engineering 17, 491-506 (2001).K. Elissa, “Title of paper if known,”
Un published.
[4] Ramez Elmasri, and Shamkant B. Navathe. 1999. Fundamentals of
Database Systems. Addison Wesley Longman, Inc.
[5] Tamer Ă–zsu, and Patrick Valduriez. 1998. Distributed Database
Management Systems. Purdue University, Computer Science
department.
[6] The University of Queensland, School of Information Technology and
Electrical Engineering. 2000. Advanced Database Systems.
http://www.itee.uq.edu.au/
[7] Mark L. Gillenson. 2004. Fundamentals of Database Management
Systems. Wiley E-Books. www.wiley.com/
[8] Zhili Zhang and WiliamPerrizo. 2000. Distributed Query Processing
Using Active Networks. ACM 1-58113-239- 5/00/003