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The idea for this book on Intelligent Tutoring Systems (ITS) was sparked by the success of the ITS’08 international conference. The number of presentations and their quality bore witness to the vitality and maturity of the field, and the enthusiasm of the participants held out a promise of sustainability and innovative research. Long life to ITS research! The book is divided into five parts. The introductory chapters to these parts, which summarize foundations, developments, strengths and weaknesses in each of the areas covered, are addressed to all readers. For those who want more in-depth knowledge, we give the floor to researchers who present their work, their results, and their view of what the future holds. It is our hope that all readers will find the book informative and thought-provoking.

Intelligent tutoring systems --- Artificial intelligence --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Education --- Applied Mathematics --- Civil Engineering --- Theory & Practice of Education --- Social Sciences --- Educational applications --- Intelligent tutoring systems. --- Computer-assisted instruction. --- Human-computer interaction. --- Artificial intelligence. --- Educational technology. --- Instructional technology --- Technology in education --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Computer-human interaction --- Human factors in computing systems --- Interaction, Human-computer --- CAI (Computer-assisted instruction) --- Computer-aided instruction --- Computer-assisted learning --- Computer based instruction --- Computer-enhanced learning --- Electronic data processing in programmed instruction --- ILSs (Integrated learning systems) --- Integrated learning systems --- Microcomputer-aided instruction --- Microcomputer-assisted instruction --- Microcomputer-assisted learning --- Microcomputer-based instruction --- Teaching --- ICAI (Computer-assisted instruction) --- Intelligent computer-assisted instruction --- ITS (Computer-assisted instruction) --- Knowledge-based tutoring systems --- Tutoring systems, Intelligent --- Data processing --- Computer science. --- Computer-aided engineering. --- Applied mathematics. --- Engineering mathematics. --- Computer Science. --- Computer-Aided Engineering (CAD, CAE) and Design. --- Appl.Mathematics/Computational Methods of Engineering. --- Artificial Intelligence (incl. Robotics). --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Engineering --- Engineering analysis --- Mathematical analysis --- CAE --- Informatics --- Science --- Mathematics --- Technology --- Educational innovations --- Instructional systems --- Human engineering --- User-centered system design --- User interfaces (Computer systems) --- Educational technology --- Programmed instruction --- Telematics --- Computer-assisted instruction --- Expert systems (Computer science) --- Aids and devices --- Computer aided design. --- Mathematical and Computational Engineering. --- Artificial Intelligence. --- CAD (Computer-aided design) --- Computer-assisted design --- Computer-aided engineering --- Design

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This book presents an overview of techniques for discovering high-utility patterns (patterns with a high importance) in data. It introduces the main types of high-utility patterns, as well as the theory and core algorithms for high-utility pattern mining, and describes recent advances, applications, open-source software, and research opportunities. It also discusses several types of discrete data, including customer transaction data and sequential data. The book consists of twelve chapters, seven of which are surveys presenting the main subfields of high-utility pattern mining, including itemset mining, sequential pattern mining, big data pattern mining, metaheuristic-based approaches, privacy-preserving pattern mining, and pattern visualization. The remaining five chapters describe key techniques and applications, such as discovering concise representations and regular patterns. .

Data mining. --- Engineering. --- Artificial intelligence. --- Computational Intelligence. --- Artificial Intelligence. --- Data Mining and Knowledge Discovery. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Construction --- Industrial arts --- Technology --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Computational intelligence. --- Intelligence, Computational --- Artificial intelligence --- Soft computing