Calls for papers
International Journal of Social Network Mining
Special Issue on: "Data Mining and Control System Applications"
Guest Editor: Muhammad Aslam Uqaili, Mehran University of Engineering & Technology, Pakistan
This special issue will cover two main areas of advanced research - data mining and control system applications. Data mining is dedicated to exploring and analysing large volumes of data, by automatic or semi-automatic means, to discover meaningful patterns in describing the given data. With these large volumes of data, the data owners have an imminent opportunity to turn them into useful knowledge. Boosted by industrial needs and supported by numerous developments in machine learning, statistics, artificial intelligence, and database systems, data mining research has now rapidly spanned various fields from computational science, business intelligence, social sciences, life sciences and scientific computing, to ecology and geology. Data mining research topics also spontaneously evolve to solve real-world challenges such as mining web, stream data, graph and social network data, and other types of complex data from complex data environments.
A control system is a dynamical system that affects the behaviour of another system. Control technology permeates every aspect of our lives. We rely on it to perform a wide variety of tasks without giving much thought to the origins of the technology or how it became such an important part of our lives. Control system applications cover the uses of control systems, both in the common and in the uncommon areas of our lives. This special issue also covers high-quality papers on original, theoretical and experimental research and development in the area of systems and control, including all aspects of control theory and its applications.Subject Coverage
This special issue invites contribution on all topics of data mining and control system applications, including but not limited to:
Data Mining Topics
- Classical Data Mining Algorithms
Including: supervised and semi-supervised learning, active learning, cost-sensitive learning, multi-task and transfer learning, rough sets, fuzzy modelling, clustering, and association rule mining.
- Mining Web, Multimedia, Graph, and Complex Data
Including: web data mining, recommendation systems, multimedia data mining, graph mining, and social network discovery.
- Data Quality, Access Control, and Privacy Issues in Data Mining
Including: data quality assessment and control, privacy preserving data mining, data preprocessing and enhancement
- Business Intelligence and Risk Assessment
Including: OLAP, decision support systems, business planning, sales intelligence, business intelligence tools and systems, and customer relationship management.
- Computational Biology and Bioinformatics
Including: biological sequence analysis, alignment, and assembling, microarry expression data analysis, pathway, networking, and system biology and modelling.
- Computational Intelligence
Artificial neural networks, fuzzy systems, genetic algorithms, evolutionary computing, machine learning, data mining
- Control and Systems
Adaptive and intelligent control, hybrid control, digital control theory and development, robust control, nonlinear systems and control, process control, networked control, cooperative control, biocontrol
- Energy and Environment
Energy management and control systems, energy distribution, storage and recovery, alternative and green energy, Waste management, waste treatment and recycling, water network and security, sensor technologies, intelligent micro-grids
Robotics, sensors and actuators, sensor fusion, high precision motion control, microelectromechanical systems, industrial automation, remote operation
- Power Electronics
Power devices and components, power quality control, FACTS, PFC, STATCOM, harmonic analysis and compensations, switching circuits and power converters, motors and drives
- Signal Processing
Image processing, computer vision, bio-image processing, audio/video processing, data processing, estimation and identification, remote sensing
Notes for Prospective Authors
Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere
All papers are refereed through a double-blind review process. A guide for authors, sample copies and other relevant information for submitting papers are available on the Author Guidelines page
Extended abstract of no more than 3 pages due: 14 August, 2009
Preliminary acceptance/rejection notification: 16 December 2009
Full paper due: 18 December, 2009
Final acceptance notification by: 15 May, 2010
Camera-ready paper due: 30 June, 2010