Calls for Papers (special): International Journal of Knowledge Discovery in Bioinformatics (IJKDB)


Special Issue On: Advances in Machine Learning and Data Mining

Submission Due Date
5/15/2017

Guest Editors
Brojo Kishore Mishra, C. V. Raman College of Engineering, Bhubaneswar, India
V. Santhi, School of Computing Science and Engineering, VIT University, India
Sanjay Kumar Panda, VSSUT, Brula, India
Ashish khanna, Maharaja Agrasen Institute of Technology, New Delhi, India
Vishal Gour, Govt. Engineering College, Bikaner, India
Vishal Jain, BVICAM, New Delhi, India


Introduction
Machine learning is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. Machine learning focuses on the development of computer programs that can change when exposed to new data. Data Mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information that can be used to increase revenue, cuts costs, or both. The aim of the special issue is to bring together researchers from all over the world who deal with machine learning and data mining in order to discuss the recent status of the research and to direct further developments. Basic research papers as well as application papers are welcome. All kinds of applications are welcome but special preference will be given to Machine Learning applications, Data Mining applications including Opinion Mining.

Objective
In this special issue, we are seeking new and unpublished work on Data mining and Machine Learning.

Recommended Topics
• Application of Data Mining and Machine learning in Bioinformatics
• Bayesian Models and Methods
• Case-Based Reasoning and Associative Memory
• Classification and Clustering
• Feature Grouping, Discretization, Selection and Transformation
• Feature Learning
• Inductive learning including decision tree and rule induction learning
• Knowledge Acquisition and Learning
• Knowledge extraction from text, video, signals and images
• Learning and Adaptive Control
• Learning for Handwriting Recognition
• Learning in Image Pre-Processing and Segmentation
• Learning in process automation
• Learning of appropriate behavior
• Learning of Ontologies
• Learning robots
• Learning/Adaption of Recognition and Perception
• Mining Financial or Stock market Data
• Mining gene data bases and biological data bases
• Mining images, temporal-spatial data, images from remote sensing
• Mining Social Media
• Nonlinear Function Learning and Neural Net Based Learning
• Rule Induction and Grammars
• Statistical and Evolutionary Learning
• Support Vector Machines
• Symbolic Learning and Neural Networks in Document Processing
• Text Mining / Image Mining / Audio Mining / Video mining


Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Advances in Machine Learning and Data Mining on or before 15th May 2017. 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: May 15th, 2017
First Decision Notification: July 3rd, 2017
Submission of Revised Articles: July 31st, 2017
Final Decision Notification: September 4th, 2017


All submissions and inquiries should be directed to the attention of:
Brojo Kishore Mishra (brojokishoremishra@gmail.com)
V. Santhi (vsanthinathan@gmail.com)
Sanjaya Kumar Panda (sanjayauce@gmail.com)
Ashish khanna (ashishk746@yahoo.com)
Vishal Gour (dr.vishalgoar@gmail.com)
Vishal Jain (vishaljain_usit@yahoo.in)

Special Issue On: Knowledge Discovery in Biomedicine

Submission Due Date
1/30/2018

Guest Editors
Samah Fodeh, Yale University, USA

Introduction
Given that biomedical and healthcare applications are producing increasingly large amounts of digital data, more advanced and sophisticated data analytical techniques are needed to exploit and manage these data. Within this context of the big data revolution, we start this special issue on developing new and novel analytical methods to exploit and mine biomedical and healthcare data. The broader context of the special issue concerns machine learning and data mining, i.e., clustering, classification, summarization, topic modeling, visualization, information retrieval and data integration. Submissions should include methods to mine, summarize and integrate data modalities. Different types of big data can be used to validate the methods including genomic, proteomic phenotypic, molecular (including –omics), physiological, anatomical, clinical, behavioral, environmental, social media, and many other types of biological and biomedical data.

Objective
IJKDB is particularly interested in publishing methodological reviews on topics listed below and focuses on papers that introduce methodological innovations. Please also note that unpublished or significantly expanded/updated versions of papers submitted to the fifth Data Mining in Biomedical Informatics and Healthcare (DMBIH’05) Workshop to be held in conjunction with the IEEE International Conference on Data Mining (ICDM’17) will be considered for publication in this special issue.

Recommended Topics
• Classifying and clustering big clinical data in electronic health records (EHRs)
• Classifying and clustering big biomedical data in high dimensional spaces
• Topic modeling / detection in large amounts of clinical textual data
• Data preprocessing and cleansing to deal with noise and missing data in large biomedical or population health data sets
• Algorithms to speed up the analysis of big biomedical data
• Novel visualization techniques to facilitate the query and analysis of bimedical data
• Longitudinal analysis of clinical notes and surveys and time series analysis
• Statistics and probability in large-scale data mining
• Medical image data mining
• Biological markers detection
• Biological and clinical data analysis and integration for translational research
• Computational genetics, genomics and proteomics


Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Knowledge Discovery in Biomedicine on or before 1/30/2018. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/journals/guidelines-for-submission.aspx. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

All submissions and inquiries should be directed to the attention of:
Samah Fodeh
Guest Editor
International Journal of Knowledge Discovery in Bioinformatics (IJKDB)
E-mail: samah.fodeh@yale.edu