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KDDIIS 2016 : IJRSDA special issue on Knowledge Discovery in Data Using Intelligent Information Systems


When N/A
Where N/A
Submission Deadline Feb 1, 2016
Notification Due Mar 13, 2016
Final Version Due Mar 25, 2016
Categories    bio inspired computing   data mining   intelligent knowledge manageme   e-commerce

Call For Papers

Special Issue on

“Knowledge Discovery in Data Using Intelligent Information Systems”

International Journal of Rough Sets and Data Analysis (IJRSDA)

***Call for Papers***

The ongoing rapid growth of online data due to the Internet and the widespread use of databases have created an immense need for ultra-advance methodologies. The challenge of extracting knowledge from data draws upon research in statistics, databases, pattern recognition, machine learning, data visualization, optimization, and high-performance computing, to deliver advanced business intelligence and web discovery solutions. With the explosive growth of online data, data-based solutions are increasingly crucial. Accordingly, methodological development for business intelligence, as well as IT-system and business process monitoring, has become a focal point of statistics and KDD research. In these areas, monitoring data that has been collected over time is used to make processes more efficient, effective, predictable, and profitable. Challenging aspects include handling large time-dependent data with varied characteristics, producing accurate and practical forecasting methods, and developing analytics relevant for business decision-making. These challenges may not be handled by ongoing traditional logics. It needs special attention in the development of intelligent automated systems that can be an effective problem solving tool. Thus for efficient knowledge discovery from raw data expert systems are perceived as a guiding force to reckon with.

The spectrum of applications of expert systems technology to industrial and commercial problems is so wide as to defy easy characterization. The applications find their way into most areas of knowledge work. Our objective is to exchange information relating to expert and intelligent systems applied in industry, government, and universities worldwide. The journal is willing to publish papers in intelligent systems technology and its application in a wide range of areas which include finance, accounting, engineering, marketing, auditing, law, procurement and contracting, project management, risk assessment, information management, information retrieval, crisis management, stock trading, strategic management, network management, telecommunications, space education, intelligent front ends, intelligent database management systems, bio-informatics, chemistry, human resources management. Papers in multi-agent systems, knowledge management, neural networks, web mining, data and text mining, multimedia mining, and genetic algorithms will also be published in the journal.

Recommended Topics
The main motive of this special issue is to provide a deep insight onto the researchers regarding the recent advances in knowledge discovery and research with implementation of expert systems. Authors are encouraged to submit their paper from the following topics:
• Data Pre-Processing, Data Transformation and Dimensionality Reduction
• Feature Extraction and Feature Selection
• Real-time Mining, Data Stream Mining, and Dynamic Data Mining
• Visual Mining and Data Visualization
• Spatial and Temporal Data Mining
• Web Mining
• E-Commerce, E-Business and E-Learning
• Bio Inspired Computing
• Healthcare Applications and Medical Diagnosis
• IT Software Development and Methodology
• Convergence of Data Mining and Intelligent IT Applications
• Agent-based Data Analysis and Knowledge Discovery
• Performance Evaluation in Intelligent IT applications
• Decision Analysis and Decision Support Systems
• Text Mining
• Intelligent Knowledge Management

Notes for Prospective Authors

Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. (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 All papers are refereed through a peer review process. Papers must follow APA style for reference citations.

If you have any queries concerning this special issue, please email the Guest Editors:
Dr. Brojo Kishore Mishra:

Important Dates
• Paper Submission due: Feb 01, 2016
• First Decision Notification: Mar 13, 2016
• Submission of Revised Articles: Mar 25, 2016
• Final Decision Notification: Apr 10, 2016
• Publication: April, 2016

Related Resources

PAKDD 2017   The 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining
ECML-PKDD 2016   European Conference on Machine Learning and Principles and Practice of Knowledge Discovery
MLDM 2017   Machine Learning and Data Mining in Pattern Recognition
ECML-PKDD 2017   European Conference on Machine Learning and Principles and Practice of Knowledge Discovery
DSAA 2017   The 4th IEEE International Conference on Data Science and Advanced Analytics 2017
ISMIS 2017   23rd International Symposium on Methodologies for Intelligent Systems
IJAIA 2016   International Journal of Artificial Intelligence & Applications
IJE 2016   International Journal of Education
CIKM 2017   The 26th 2017 ACM Conference on Information and Knowledge Management
DASFAA 2017   The 22nd International Conference on Database Systems for Advanced Applications