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Data mining --- Exploration de données (Informatique) --- Congresses. --- Congrès --- Computer Science --- Engineering & Applied Sciences --- Computer science. --- Health informatics. --- Algorithms. --- Database management. --- Artificial intelligence. --- Bioinformatics. --- Computer Science. --- Database Management. --- Artificial Intelligence (incl. Robotics). --- Algorithm Analysis and Problem Complexity. --- Health Informatics. --- Bio-informatics --- Biological informatics --- Biology --- Information science --- Computational biology --- Systems biology --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Electronic data processing --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Algorism --- Algebra --- Arithmetic --- Clinical informatics --- Health informatics --- Medical information science --- Medicine --- Informatics --- Science --- Data processing --- Foundations --- Computer software. --- Medical records --- Artificial Intelligence. --- Data processing. --- EHR systems --- EHR technology --- EHRs (Electronic health records) --- Electronic health records --- Electronic medical records --- EMR systems --- EMRs (Electronic medical records) --- Information storage and retrieval systems --- Software, Computer --- Computer systems --- Medical care
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For this book, the editors invited and called for contributions from indispensable research areas relevant to "chance discovery," which has been defined as the discovery of events significant for making a decision, and studied since 2000. From respective research areas as artificial intelligence, mathematics, cognitive science, medical science, risk management, methodologies for design and communication, the invited and selected authors in this book present their particular approaches to chance discovery. The chapters here show contributions to identifying rare or hidden events and explaining their significance, predicting future trends, communications for scenario development in marketing and design, identification effects and side-effects of medicines, etc. The methods presented in this book are based on the interaction of human, machine, and human's living environment, rather than based purely automated predictions of the future. This is a promising direction of computer-supported decision of human in a radically changing environment.
Decision making --- Human-computer interaction. --- Prise de décision --- Interaction homme-machine (Informatique) --- Data processing. --- Informatique --- Artificial intelligence -- Data processing. --- Chance. --- Decision making. --- Decision support systems. --- Electronic books. -- local. --- Intelligent control systems. --- Human-computer interaction --- Civil Engineering --- Management Theory --- Applied Mathematics --- Management --- Engineering & Applied Sciences --- Civil & Environmental Engineering --- Business & Economics --- Data processing --- Artificial intelligence --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management decisions --- Intelligent control --- Intelligent controllers --- Engineering. --- Artificial intelligence. --- Applied mathematics. --- Engineering mathematics. --- Appl.Mathematics/Computational Methods of Engineering. --- Artificial Intelligence (incl. Robotics). --- Engineering --- Engineering analysis --- Mathematical analysis --- 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 --- Mathematics --- Fortune --- Necessity (Philosophy) --- Probabilities --- Choice (Psychology) --- Problem solving --- Management information systems --- Telematics --- Automatic control --- Mathematical and Computational Engineering. --- Artificial Intelligence. --- Computer-human interaction --- Human factors in computing systems --- Interaction, Human-computer --- Human engineering --- User-centered system design --- User interfaces (Computer systems)
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Music --- Recommender systems (Information filtering) --- Medical informatics. --- Data processing. --- Clinical informatics --- Health informatics --- Medical information science --- Information science --- Medicine --- Engines, Recommendation (Information filtering) --- Recommendation engines (Information filtering) --- Recommendation systems (Information filtering) --- Systems, Recommendation (Information filtering) --- Systems, Recommender (Information filtering) --- Information filtering systems --- Data processing
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For this book, the editors invited and called for contributions from indispensable research areas relevant to "chance discovery," which has been defined as the discovery of events significant for making a decision, and studied since 2000. From respective research areas as artificial intelligence, mathematics, cognitive science, medical science, risk management, methodologies for design and communication, the invited and selected authors in this book present their particular approaches to chance discovery. The chapters here show contributions to identifying rare or hidden events and explaining their significance, predicting future trends, communications for scenario development in marketing and design, identification effects and side-effects of medicines, etc. The methods presented in this book are based on the interaction of human, machine, and human's living environment, rather than based purely automated predictions of the future. This is a promising direction of computer-supported decision of human in a radically changing environment.
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Computer science --- Information systems --- Computer. Automation --- gegevensopslag --- IR (information retrieval) --- database management --- programmatielogica
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Music recommendation systems are becoming more and more popular. The increasing amount of personal data left by users on social media contributes to more accurate inference of the user's musical preferences and the same to quality of personalized systems. Health recommendation systems have become indispensable tools in decision making processes in the healthcare sector. Their main objective is to ensure the availability of valuable information at the right time by ensuring information quality, trustworthiness, authentication, and privacy concerns. Medical doctors deal with various kinds of diseases in which the music therapy helps to improve symptoms. Listening to music may improve heart rate, respiratory rate, and blood pressure in people with heart disease. Sound healing therapy uses aspects of music to improve physical and emotional health and well-being. The book presents a variety of approaches useful to create recommendation systems in healthcare, music, and in music therapy.
Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- Music --- neuronale netwerken --- fuzzy logic --- cybernetica --- muziek --- medische informatica --- KI (kunstmatige intelligentie) --- AI (artificiële intelligentie)
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This book constitutes the refereed proceedings of the Third International Workshop on Mining Complex Data, MCD 2007, held in Warsaw, Poland, in September 2007, co-located with ECML and PKDD 2007. The 20 revised full papers presented were carefully reviewed and selected; they present original results on knowledge discovery from complex data. In contrast to the typical tabular data, complex data can consist of heterogenous data types, can come from different sources, or live in high dimensional spaces. All these specificities call for new data mining strategies.
Data mining --- Database searching --- Machine learning --- Exploration de données (Informatique) --- Bases de données --- Apprentissage automatique --- Congresses. --- Congrès --- Interrogation --- Computer Science --- Engineering & Applied Sciences --- Computer science. --- Data structures (Computer science). --- Data mining. --- Information storage and retrieval. --- Computer Science. --- Data Mining and Knowledge Discovery. --- Information Storage and Retrieval. --- Data Structures. --- Data Storage Representation. --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Information structures (Computer science) --- Structures, Data (Computer science) --- Structures, Information (Computer science) --- Electronic data processing --- File organization (Computer science) --- Abstract data types (Computer science) --- Informatics --- Science --- Information storage and retrieva. --- Data structures (Computer scienc. --- Information storage and retrieval systems. --- Automatic data storage --- Automatic information retrieval --- Automation in documentation --- Computer-based information systems --- Data processing systems --- Data storage and retrieval systems --- Discovery systems, Information --- Information discovery systems --- Information processing systems --- Information retrieval systems --- Machine data storage and retrieval --- Mechanized information storage and retrieval systems --- Computer systems --- Electronic information resources --- Data libraries --- Digital libraries --- Information organization --- Information retrieval
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This book constitutes the refereed proceedings of the Third International Workshop on Mining Complex Data, MCD 2007, held in Warsaw, Poland, in September 2007, co-located with ECML and PKDD 2007. The 20 revised full papers presented were carefully reviewed and selected; they present original results on knowledge discovery from complex data. In contrast to the typical tabular data, complex data can consist of heterogenous data types, can come from different sources, or live in high dimensional spaces. All these specificities call for new data mining strategies.
Computer science --- Information systems --- Computer. Automation --- gegevensopslag --- IR (information retrieval) --- database management --- programmatielogica
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