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DCTA 2017 : Data Analytics: Concepts, Techniques and Applications


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Abstract Registration Due Jul 30, 2017
Submission Deadline Nov 30, 2017
Notification Due Jan 30, 2018
Final Version Due Mar 31, 2018
Categories    big data   analytics   data clustering   data processing

Call For Papers


BOOK TITLE: Data Analytics: Concepts, Techniques and Applications

To be Published by CRC Press, USA
Editors: Dr. Mohiuddin Ahmed and Dr. Al-Sakib Khan Pathan


Download the call:

About the Book

Big data is a term for datasets that are so large or complex that traditional data processing applications are inadequate. The significance of Big data has been recognized very recently and has different opinions on its definition. In layman’s term, Big data reflects the datasets that could not be perceived, acquired, managed, and processed by traditional IT and software/hardware tools in efficient manner. Communities like scientific and technological enterprises, research scholars, data analysts, and technical practitioners have different definitions of Big data. Due to this large amount of data arriving at fast speed, a new set of efficient data analysis techniques are required. In addition to this, the term Data Science gained lot of attention from both the research community and the industry. Therefore, Data Analytics is becoming an essential component for any organization. For instance, if we consider Health Care, Financial Trading, Internet of Things, Smart Cities or Cyber Physical Systems, one can find the role of Big Data Analytics. However, with these diverse application domains, new research challenges are also arising. In this context, the aim of this book on Data Analytics is to provide a broader picture on the concepts, techniques, applications, and open research directions in this area. In addition, the proposed publication will serve as a single source of reference for acquiring the knowledge on emerging Big Data Analytics technologies.

Topics of interest are but not limited to:
- Introduction to Data Analytics
- Big Data Processing
- Big Data Classification
- Big Data Clustering
- Finding Interesting Pattern in Big Data
- Anomaly Detection from Big Data
- Recent Technologies for Big Data Analytics
- Applications in Different Domain
- Futuristic Applications and Challenges

Submission Instructions

Each manuscript should be written in a tutorial manner with enough details so that it can be easily accessible to the readers outside the specialty of the area. Expected manuscript length is between 7,000 to 12,000 words. Longer manuscripts may be allowed based on the topic and need. Manuscripts submitted for the book must be original, must not be previously published or currently under review anywhere. The manuscript must be prepared with MS-Office (doc or docx). Kindly do not use any special formatting or macro for the submission version, doc or docx file. General guideline is: Use A4 page with 1 inch (or, 2.54 cm) margin on all sides, single column format, 1.5 line spacing with 11 point sized font, Times New Roman. References should be cited within the text with numbers in sequence like [1], [2], [3], .... An all-in-one PDF file may be submitted for the initial version however, if the chapter is accepted, this formatting style must be followed and MS-Office file (doc, docx) must be supplied.

A chapter proposal should be sent to the editor as soon as possible. Please email to both and

Important Dates

Proposal Submission Deadline: July 30th 2017
Notification of Proposal Acceptance: August 30th 2017
Draft of Full Chapter Submission: November 30th 2017
Notification for Corrections: January 30th 2018
Final Chapter Submission: March 31st 2018

Editors' Contact Information

Mohiuddin Ahmed, Ph.D.
Department of ICT and Library Studies,
Canberra Institute of Technology,
Block D, Room 239A,
37 Constitution Avenue, Reid, ACT 2601, Australia
Tel: +612-62078769

Al-Sakib Khan Pathan, Ph.D.
Department of Computer Science and Engineering
Southeast University
Room: 1204 (Level 12)
A.R. Tower, Kemal Ataturk Avenue, Banani, Dhaka 1213, Bangladesh
Phone: (Office) +8809821590 Ex. 115 (Mobile) +8801756084583

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