Recently there has been growing interest in knowledge discovery and data mining, machine learning and the combination of a wide range of artificial intelligence methods and techniques and their applications in different domains such business, communication, transportation, healthcare, education, the World Wide Web, and so on.
Knowledge discovery and data mining (KDD) is an interdisciplinary area focusing upon methodologies for extracting useful knowledge from a wide diversity of data. The ongoing rapid growth of online data (usually complex data including text documents, time-series, multimedia objects) due to the Internet and the extensive use of databases has influenced an enormous and emergent need for developing and using KDD methodologies.
The challenge of extracting knowledge from data draws upon research in other important domains and fields such as statistics, databases, pattern recognition, machine learning, data visualisation, optimisation and high-performance computing.
Also, we are facing a remarkable paradigm shift in networked computing, in which humans are not only consumers of data and software, but have also become providers of services and content as well as metadata in various forms, e.g. opinions, recommendations, ratings, tags, etc. As a consequence, large amounts of information are generated from the interaction between people mediated by information technologies, as well as between users and applications.
Consequently, an increase in interest from researchers in analysing, discovering and understanding new patterns of human behaviours has resulted from the usage of new information technologies. It can be observed in enhanced applications in various areas of the economy, marketing, education, business, healthcare, entertainment, etc.
The aim of this special issue is to contribute to the analysis of the main advancements of different methods and technologies including classical artificial intelligence, computational intelligence and multi-agent systems. Special focus will be given to the analysis, discovery, and understanding of complex data, as well as to their application for the development of better systems.
Thus, potential authors are invited to submit contributions related to theoretical aspects but also related to applications of a wide range of intelligent techniques in real environments.
Suitable topics include but are not limited to:
- Knowledge discovery and data mining
- Reasoning and semantics
- Intelligent image processing
- Collective intelligence
- Evolution, adaptation
- Intelligent agents
- Artificial social systems
- Expert systems/decision support systems
- Service-oriented architectures
- Computational architectures
- Collaborative environments
- Web intelligence and semantic web
- Complex systems
- Ambient intelligence
- Learning systems and tools
Paper submission: 30 August, 2012
Review results/author notification: 15 December, 2012
Final paper submission: 15 February, 2013