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Internet of Everything Advancement Study in Data Science and Knowledge Analytic Streams

Nilamadhab Mishra1

  1. Dept. of School of Computing, Debre Berhan University, Debre Berhan, Ethiopia.

Correspondence should be addressed to: nmmishra77@gmail.com.


Section:Review Paper, Product Type: Isroset-Journal
Vol.6 , Issue.1 , pp.30-36, Feb-2018


CrossRef-DOI:   https://doi.org/10.26438/ijsrcse/v6i1.3036


Online published on Feb 28, 2018


Copyright © Nilamadhab Mishra . 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: Nilamadhab Mishra , “Internet of Everything Advancement Study in Data Science and Knowledge Analytic Streams,” International Journal of Scientific Research in Computer Science and Engineering, Vol.6, Issue.1, pp.30-36, 2018.

MLA Style Citation: Nilamadhab Mishra "Internet of Everything Advancement Study in Data Science and Knowledge Analytic Streams." International Journal of Scientific Research in Computer Science and Engineering 6.1 (2018): 30-36.

APA Style Citation: Nilamadhab Mishra , (2018). Internet of Everything Advancement Study in Data Science and Knowledge Analytic Streams. International Journal of Scientific Research in Computer Science and Engineering, 6(1), 30-36.

BibTex Style Citation:
@article{Mishra_2018,
author = {Nilamadhab Mishra },
title = {Internet of Everything Advancement Study in Data Science and Knowledge Analytic Streams},
journal = {International Journal of Scientific Research in Computer Science and Engineering},
issue_date = {2 2018},
volume = {6},
Issue = {1},
month = {2},
year = {2018},
issn = {2347-2693},
pages = {30-36},
url = {https://www.isroset.org/journal/IJSRCSE/full_paper_view.php?paper_id=536},
doi = {https://doi.org/10.26438/ijcse/v6i1.3036}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i1.3036}
UR - https://www.isroset.org/journal/IJSRCSE/full_paper_view.php?paper_id=536
TI - Internet of Everything Advancement Study in Data Science and Knowledge Analytic Streams
T2 - International Journal of Scientific Research in Computer Science and Engineering
AU - Nilamadhab Mishra
PY - 2018
DA - 2018/02/28
PB - IJCSE, Indore, INDIA
SP - 30-36
IS - 1
VL - 6
SN - 2347-2693
ER -

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Abstract :
The latest internet of everything (IoE) advancements in data elicitation and digital storage technology leads to a large heterogeneous data depository, in which the IoE data are stored in a column oriented relational framework. The main purposes of the research are to design and explore data models, frameworks, architectures, and algorithms on network-centric data, mainly IoE data to accomplish the data science and knowledge analytic tasks for Intellectual domain applications. Some storage incompatibilities are there in the relational structure of multi-objective IoE data base that creates threats to data integrity and consistency. In a large scale IoE database, huge numbers of rows are there along with limited number of columns. So, column oriented relational framework greatly improve the performance of IoE data base in terms of data depository and access management. Knowledge analytic is the major part of data science; Analytic is a never ending process because of progressive technological change requirements as well as the business change requirements. The beauty of Analytics is that two data scientist with same problem may come up with two different new solutions. So, in this work, I discuss the overall data science and knowledge analytic streams for an effective IoE database management and knowledge discovery.

Key-Words / Index Term :
column oriented database, IoE database, knowledge analytic, data depository, data science

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