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Review on Adaptive Indexing Method for Effective Retrieval of streaming Data

P.K.Usha Rani1 , K. Reddy Madhavi2

Section:Review Paper, Product Type: Journal Paper
Volume-06 , Issue-04 , Page no. 248-250, May-2018

Online published on May 31, 2018

Copyright © P.K.Usha Rani, K. Reddy Madhavi . 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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IEEE Style Citation: P.K.Usha Rani, K. Reddy Madhavi, “Review on Adaptive Indexing Method for Effective Retrieval of streaming Data,” International Journal of Computer Sciences and Engineering, Vol.06, Issue.04, pp.248-250, 2018.

MLA Style Citation: P.K.Usha Rani, K. Reddy Madhavi "Review on Adaptive Indexing Method for Effective Retrieval of streaming Data." International Journal of Computer Sciences and Engineering 06.04 (2018): 248-250.

APA Style Citation: P.K.Usha Rani, K. Reddy Madhavi, (2018). Review on Adaptive Indexing Method for Effective Retrieval of streaming Data. International Journal of Computer Sciences and Engineering, 06(04), 248-250.

BibTex Style Citation:
@article{Rani_2018,
author = {P.K.Usha Rani, K. Reddy Madhavi},
title = {Review on Adaptive Indexing Method for Effective Retrieval of streaming Data},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2018},
volume = {06},
Issue = {04},
month = {5},
year = {2018},
issn = {2347-2693},
pages = {248-250},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=391},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=391
TI - Review on Adaptive Indexing Method for Effective Retrieval of streaming Data
T2 - International Journal of Computer Sciences and Engineering
AU - P.K.Usha Rani, K. Reddy Madhavi
PY - 2018
DA - 2018/05/31
PB - IJCSE, Indore, INDIA
SP - 248-250
IS - 04
VL - 06
SN - 2347-2693
ER -

           

Abstract

With the heterogenous data generated from large volumes of sensor networks, internet, telecommunications, current data becomes huge on big data. To handle these types of data efficient query processing techniques are necessary. As data keep on changing dynamically, an efficient clustering and indexing method is needed for continuously processing the data streams. Dynamic data can be partitioned into number of clusters, then followed by indexing. This project uses a new index structure called adaptive clustering, which is a combination of cluster and block based techniques, for processing data streams like stock market data .The incoming data which is dynamically entering is first clustered and later indexed using adaptive techniques. Experimental analysis will be made with the existing techniques in terms of space, cost, scalability and rate of retrieval.

Key-Words / Index Term

Internet, Adaptive Indexing, Review

References

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