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With the growing use of information technology and the recent advances in web systems, the amount of data available to users has increased exponentially. Thus, there is a critical need to understand the content of the data. As a result, data-mining has become a popular research topic in recent years for the treatment of the "data rich and information poor" syndrome. In this carefully edited volume a theoretical foundation as well as important new directions for data-mining research are presented. It brings together a set of well respected data mining theoreticians and researchers with practical data mining experiences. The presented theories will give data mining practitioners a scientific perspective in data mining and thus provide more insight into their problems, and the provided new data mining topics can be expected to stimulate further research in these important directions.

Data mining. --- Exploration de données (Informatique) --- Engineering. --- Information systems. --- Artificial intelligence. --- Mathematics. --- Engineering mathematics. --- Appl.Mathematics/Computational Methods of Engineering. --- Artificial Intelligence (incl. Robotics). --- Information Systems and Communication Service. --- Information and Communication, Circuits. --- Data mining --- Civil Engineering --- Applied Mathematics --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Engineering --- Engineering analysis --- Math --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Construction --- Mathematics --- Computer science. --- Computers. --- Information theory. --- Applied mathematics. --- Computer Science. --- Theory of Computation. --- Mathematical and Computational Engineering. --- Artificial Intelligence. --- Mathematical analysis --- Science --- Communication theory --- Communication --- Cybernetics --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Calculators --- Cyberspace

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Data-mining has become a popular research topic in recent years for the treatment of the "data rich and information poor” syndrome. Currently, application oriented engineers are only concerned with their immediate problems, which results in an ad hoc method of problem solving. Researchers, on the other hand, lack an understanding of the practical issues of data-mining for realworld problems and often concentrate on issues that are of no significance to the practitioners. In this volume, we hope to remedy problems by (1) presenting a theoretical foundation of data-mining, and (2) providing important new directions for data-mining research. A set of well respected data mining theoreticians were invited to present their views on the fundamental science of data mining. We have also called on researchers with practical data mining experiences to present new important data-mining topics.

Data mining --- Exploration de données (Informatique) --- Congresses. --- Congrès --- Engineering. --- Artificial intelligence. --- Engineering mathematics. --- Appl.Mathematics/Computational Methods of Engineering. --- Artificial Intelligence (incl. Robotics). --- Civil Engineering --- Applied Mathematics --- Computer Science --- Engineering & Applied Sciences --- Civil & Environmental Engineering --- Engineering --- Engineering analysis --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Construction --- Mathematics --- Applied mathematics. --- Mathematical analysis --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Industrial arts --- Technology --- Mathematical and Computational Engineering. --- Artificial Intelligence.

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This issue of Transactions on Computational Systems Biology contains a sel- tion of papers presented initially at the 2005 IEEE International Conference on Granular Computing held in Beijing, July 25-27, and a few invited papers. - persincludedinthisspecialissuearedevotedtovariousaspectsofcomputational methods, algorithms, and techniques in bioinformatics such as gene expression analysis, biomedical literature mining and natural language processing, protein structure prediction, biological database management and biomedical infor- tion retrieval. Z. Huang, Y. Li and X. Hu present a novel SVM-based method to predict anti-parallel structure from sequence data. C.H. Liu, I.-J. Chiang, J.-M. Wong, H.-C. Tsai and T.Y. Lin introduce a novel model of concept representation called Latent Semantic Networks using a multilevel geometric structure. B. Jin and Y.-Q. Zhang propose a new system to evolve the structures of granular kernel trees (GKTs) in the case that we lack knowledge to prede?ne kernel trees. The new granular kernel tree structure evolving system is used for cyclooxygenase-2 inhibitor activity comparison. M.K. Ng, S.-Q. Zhang, W.-K. Ching and T. Akutsu study a control model for gene intervention in a genetic regulatory network. At each time step, a ?nite number of controls are allowed to drive to some target states (i.e., some speci?c genes are on, and some speci?c genes are o?) of a genetic network.

Biomathematics. Biometry. Biostatistics --- General ecology and biosociology --- Computer science --- Information systems --- biodiversiteit --- bio-informatica --- informatica --- biometrie --- database management