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IJKDB Special issue 2017 : International Journal of Knowledge Discovery in Bioinformatics - Special Issue

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Link: http://www.igi-global.com/calls-for-papers-special/international-journal-knowledge-discovery-bioinformatics/1143
 
When N/A
Where N/A
Submission Deadline Nov 15, 2016
Notification Due Jan 15, 2017
Final Version Due Feb 15, 2017
Categories    machine learning   smart city   web mining   bio-informatics
 

Call For Papers

Special Issue On: Scalable Computing for Knowledge Discovery
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Submission Due Date
11/15/2016

Guest Editors
Brojo Kishore Mishra, C. V. Raman College of Engineering, Bhubaneswar, India
Sanjaya Kumar Panda, VSS University of Technology, Burla, India
Devashree Tripathy, University of California, Riverside, USA
Deepak Puthal, CSIRO, Sydney, Australia
Siba Mishra, Indian Institute of Technology (ISM), Dhanbad, India
Sushruta Mishra, C. V. Raman College of Engineering, Bhubaneswar, India

Introduction
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Scalable computing is the core of all complex scientific and business applications. It handles the massive growth of data by increasing the capacity of the system, network or storage. However, the main challenge is to extract valuable information and insights from this growing data. The resulting information is added to the existing information to make a valuable decision. Here, the scalable computing plays an important role for making such decision. Therefore, many researchers are finding cost-effective solutions for knowledge discovery by using scalable computing.

Objective
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In this special issue, we are seeking new and unpublished work on scalable computing for knowledge discovery.

Recommended Topics
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Bioinformatics
Business Intelligence
Classification and Ranking
Clustering
Cluster, Grid and Cloud Computing
Data Analytics
Data Mining
Data Preprocessing
Data Visualization
Distributed Computing
Graphics Processing Unit
Green Computing
High Performance Computing
High Throughput Computing
Information Retrieval
Interactive and Online Mining
Knowledge Discovery in Databases
Knowledge Retrieval
Machine Learning
Massively Parallel Systems
Mining Text and Semi-structured Data
Parallel Algorithms and Applications
Parallel and Distributed Data Mining
Probability Theory
Quality Assessment
Queuing Theory
Recommender Systems
Sequence Analysis
Smart City Computing
Software Development
Statistical Methods
Text Analysis
Unconventional Computing Paradigms
Volunteer Computing and Peer to Peer Computing
Web-based Intelligence Monitoring and Analysis
Web Mining
Workflow Computing


Submission Procedure
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Researchers and practitioners are invited to submit papers for this special theme issue on Scalable Computing for Knowledge Discovery on or before November 15th, 2016. All submissions must be original and should not be under review by another publication (N. B. Conference papers may only be submitted if the paper has been completely re-written and if appropriate written permissions have been obtained from any copyright holders of the original paper). INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/publish/contributorresources/ before-you-write/. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations. All papers are refereed through a blind peer review process. All papers must be submitted online through E-editorial discovery system.

Submission of Manuscripts: November 15th, 2016
First Decision Notification: January 15th, 2017
Submission of Revised Articles: January 31st, 2017
Final Decision Notification: February 15th, 2017
Publication: 2017

All submissions and inquiries should be directed to the attention of:
Brojo Kishore Mishra
Email: brojokishoremishra@gmail.com
Sanjaya Kumar Panda
Email: sanjayauce@gmail.com
Devashree Tripathy
Email: Dtrip003@ucr.edu
Deepak Puthal
Email: Deepak.Puthal@data61.csiro.au
Siba Mishra
Email: sibamishra@cse.ism.ac.in
Sushruta Mishra
Email: Mishra.sushruta@gmail.com
Guest Editors
International Journal of Knowledge Discovery in Bioinformatics (IJKDB)

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