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A Relative Study of Data Mining and Big Data on IoT `s Data Streams

Sallauddin Mohmmad1 , Syed Nawaz Pasha2 , Dadi Ramesh3 , Shabana 4

  1. Computer Science and Engineering, SR Engineering College, Warangal, India.
  2. Computer Science and Engineering, SR Engineering College, Warangal, India.
  3. Computer Science and Engineering, SR Engineering College, Warangal, India.
  4. Computer Science and Engineering, SR Engineering College, Warangal, India.

Correspondence should be addressed to: sallauddin.md@gmail.com.

Section:Research Paper, Product Type: Journal Paper
Volume-5 , Issue-10 , Page no. 200-209, Oct-2017

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v5i10.200209

Online published on Oct 30, 2017

Copyright © Sallauddin Mohmmad, Syed Nawaz Pasha, Dadi Ramesh ,Shabana . 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: Sallauddin Mohmmad, Syed Nawaz Pasha, Dadi Ramesh ,Shabana, “A Relative Study of Data Mining and Big Data on IoT `s Data Streams,” International Journal of Computer Sciences and Engineering, Vol.5, Issue.10, pp.200-209, 2017.

MLA Style Citation: Sallauddin Mohmmad, Syed Nawaz Pasha, Dadi Ramesh ,Shabana "A Relative Study of Data Mining and Big Data on IoT `s Data Streams." International Journal of Computer Sciences and Engineering 5.10 (2017): 200-209.

APA Style Citation: Sallauddin Mohmmad, Syed Nawaz Pasha, Dadi Ramesh ,Shabana, (2017). A Relative Study of Data Mining and Big Data on IoT `s Data Streams. International Journal of Computer Sciences and Engineering, 5(10), 200-209.

BibTex Style Citation:
@article{Mohmmad_2017,
author = {Sallauddin Mohmmad, Syed Nawaz Pasha, Dadi Ramesh ,Shabana},
title = {A Relative Study of Data Mining and Big Data on IoT `s Data Streams},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {10 2017},
volume = {5},
Issue = {10},
month = {10},
year = {2017},
issn = {2347-2693},
pages = {200-209},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1499},
doi = {https://doi.org/10.26438/ijcse/v5i10.200209}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v5i10.200209}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1499
TI - A Relative Study of Data Mining and Big Data on IoT `s Data Streams
T2 - International Journal of Computer Sciences and Engineering
AU - Sallauddin Mohmmad, Syed Nawaz Pasha, Dadi Ramesh ,Shabana
PY - 2017
DA - 2017/10/30
PB - IJCSE, Indore, INDIA
SP - 200-209
IS - 10
VL - 5
SN - 2347-2693
ER -

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Abstract

The huge amount of data produced and captured by the Internet of Things (IoT) in current situations. IoT data created by several applications such as from smart cities, monitoring system, health care, object detecting systems and smart systems etc which all produce the continues data streams.But data of IoT recognized with RFID signal their size is near to 20 bytes. So that it is requiring of special procedures for analyzing, managing and mining the IoT stream data which is identified by RFID. Several software tools have been developed for mining the stream data relatively Big Data tools. While most current research looking into data mining and relative big data tools which are on machine learning of distributed and non-distributed systems with respect to IoT stream data.This paper focused on IoT data format, different kind stream data mining tools according to mining steps and few Big Data tools relative with data mining for handling the stream data of IoT.

Key-Words / Index Term

IoT, Data mining ,Big Data , RFID, Stream Data

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