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This book gives an introduction to the programming language Scala. It presents it from a functional programming perspective. The book explains with detail functional programming and recursivity, and includes chapters on lazy and eager evaluation, streams, higher-order functions (including map, fold, reduce, and aggregate), and algebraic data types. The book also describes the object-oriented aspects of Scala, as they are a fundamental part of the language. In addition, the book includes a chapter on parallelism in Scala, giving an overview of the actor model.

Computer science. --- Computer programming. --- Software engineering. --- Programming languages (Electronic computers). --- Mathematical logic. --- Computers. --- Pattern recognition. --- Computer Science. --- Programming Languages, Compilers, Interpreters. --- Programming Techniques. --- Software Engineering. --- Mathematical Logic and Formal Languages. --- Models and Principles. --- Pattern Recognition. --- Design perception --- Pattern recognition --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Algebra of logic --- Logic, Universal --- Mathematical logic --- Symbolic and mathematical logic --- Symbolic logic --- Computer languages --- Computer program languages --- Computer programming languages --- Machine language --- Computer software engineering --- Computers --- Electronic computer programming --- Electronic data processing --- Electronic digital computers --- Programming (Electronic computers) --- Informatics --- Programming --- Form perception --- Perception --- Figure-ground perception --- Computer systems --- Cybernetics --- Machine theory --- Calculators --- Cyberspace --- Mathematics --- Algebra, Abstract --- Metamathematics --- Set theory --- Syllogism --- Languages, Artificial --- Engineering --- Coding theory --- Science --- Optical pattern recognition. --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Scala (Computer program language) --- Functional programming (Computer science) --- Computer programming --- Software development. --- Functional programming languages --- Object-oriented programming languages --- Multiparadigm programming (Computer science)

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Data privacy technologies are essential for implementing information systems with privacy by design. Privacy technologies clearly are needed for ensuring that data does not lead to disclosure, but also that statistics or even data-driven machine learning models do not lead to disclosure. For example, can a deep-learning model be attacked to discover that sensitive data has been used for its training? This accessible textbook presents privacy models, computational definitions of privacy, and methods to implement them. Additionally, the book explains and gives plentiful examples of how to implement—among other models—differential privacy, k-anonymity, and secure multiparty computation. Topics and features: Provides integrated presentation of data privacy (including tools from statistical disclosure control, privacy-preserving data mining, and privacy for communications) Discusses privacy requirements and tools for different types of scenarios, including privacy for data, for computations, and for users Offers characterization of privacy models, comparing their differences, advantages, and disadvantages Describes some of the most relevant algorithms to implement privacy models Includes examples of data protection mechanisms This unique textbook/guide contains numerous examples and succinctly and comprehensively gathers the relevant information. As such, it will be eminently suitable for undergraduate and graduate students interested in data privacy, as well as professionals wanting a concise overview. Vicenç Torra is Professor with the Department of Computing Science at Umeå University, Umeå, Sweden.

Data privacy.. --- Data protection. --- Data governance --- Data regulation --- Personal data protection --- Protection, Data --- Electronic data processing --- Information privacy --- Information resources management --- Privacy --- General ethics --- Human rights --- Artificial intelligence. Robotics. Simulation. Graphics --- Data protection --- Cryptography. --- Data encryption (Computer science). --- Information technology --- Computers and civilization. --- Privacy. --- Data and Information Security. --- Cryptology. --- Information Ethics. --- Computers and Society. --- Law and legislation. --- Moral and ethical aspects. --- Information ethics --- Data encoding (Computer science) --- Encryption of data (Computer science) --- Computer security --- Cryptography --- Cryptanalysis --- Cryptology --- Secret writing --- Steganography --- Signs and symbols --- Symbolism --- Writing --- Ciphers --- Data encryption (Computer science) --- Habeas data --- Privacy, Right of --- Civilization and computers --- Civilization

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Data privacy technologies are essential for implementing information systems with privacy by design. Privacy technologies clearly are needed for ensuring that data does not lead to disclosure, but also that statistics or even data-driven machine learning models do not lead to disclosure. For example, can a deep-learning model be attacked to discover that sensitive data has been used for its training? This accessible textbook presents privacy models, computational definitions of privacy, and methods to implement them. Additionally, the book explains and gives plentiful examples of how to implement—among other models—differential privacy, k-anonymity, and secure multiparty computation. Topics and features: Provides integrated presentation of data privacy (including tools from statistical disclosure control, privacy-preserving data mining, and privacy for communications) Discusses privacy requirements and tools for different types of scenarios, including privacy for data, for computations, and for users Offers characterization of privacy models, comparing their differences, advantages, and disadvantages Describes some of the most relevant algorithms to implement privacy models Includes examples of data protection mechanisms This unique textbook/guide contains numerous examples and succinctly and comprehensively gathers the relevant information. As such, it will be eminently suitable for undergraduate and graduate students interested in data privacy, as well as professionals wanting a concise overview. Vicenç Torra is Professor with the Department of Computing Science at Umeå University, Umeå, Sweden.

Human rights --- Programming --- Information systems --- Computer. Automation --- cryptografie --- computers --- informatica --- maatschappij --- privacy --- informatietechnologie --- computerbeveiliging --- Data protection --- Data protection. --- Cryptography. --- Data encryption (Computer science). --- Information technology --- Computers and civilization. --- Privacy. --- Data and Information Security. --- Cryptology. --- Information Ethics. --- Computers and Society. --- Law and legislation. --- Moral and ethical aspects. --- General ethics --- Artificial intelligence. Robotics. Simulation. Graphics --- Protecció de dades --- Xifratge (Informàtica) --- Data encryption (Computer science)

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This book constitutes the proceedings of the 12th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2015, held in Skövde, Sweden, in September 2015. The 18 revised full papers presented were carefully reviewed and selected from 38 submissions. They discuss theory and tools for modeling decisions, as well as applications that encompass decision making processes and information fusion techniques.

Computer Science. --- Pattern Recognition. --- Data Mining and Knowledge Discovery. --- Information Systems Applications (incl. Internet). --- Information Storage and Retrieval. --- Numeric Computing. --- Computer science. --- Electronic data processing. --- Data mining. --- Information storage and retrieval systems. --- Optical pattern recognition. --- Informatique --- Exploration de données (Informatique) --- Systèmes d'information --- Reconnaissance optique des formes (Informatique) --- Electrical Engineering --- Computer Science --- Electrical & Computer Engineering --- Engineering & Applied Sciences --- Numerical analysis. --- Information storage and retrieval. --- Artificial intelligence. --- Pattern recognition. --- Artificial Intelligence (incl. Robotics). --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- 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 --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Mathematical analysis --- Informatics --- Science --- Information storage and retrieva. --- Artificial Intelligence. --- ADP (Data processing) --- Automatic data processing --- Data processing --- EDP (Data processing) --- IDP (Data processing) --- Integrated data processing --- Computers --- Office practice --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Automation --- 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 --- Artificial intelligence --- Mathematical models --- Application software. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software

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This book constitutes the refereed proceedings of the First International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2004, held in Barcelona, Spain in August 2004.;The 26 revised full papers presented together with 4 invited papers were carefully reviewed and selected from 53 submissions. The papers are devoted to topics like models for information fusion, aggregation operators, model selection, fuzzy integrals, fuzzy sets, fuzzy multisets, neural learning, rule-based classification systems, fuzzy association rules, algorithmic learning, diagnosis, text categorization, unsupervised aggregation, the Choquet integral, group decision making, preference relations, vague knowledge processing, etc.

Artificial intelligence --- Decision making --- Computer Science --- Engineering & Applied Sciences --- Mathematical models --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Computer science. --- Operations research. --- Decision making. --- Computers. --- Mathematical logic. --- Database management. --- Artificial intelligence. --- Computer simulation. --- Computer Science. --- Artificial Intelligence (incl. Robotics). --- Mathematical Logic and Formal Languages. --- Computation by Abstract Devices. --- Database Management. --- Simulation and Modeling. --- Operation Research/Decision Theory. --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Artificial Intelligence. --- Operations Research/Decision Theory. --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Model-integrated computing --- 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 --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management --- Management decisions --- Choice (Psychology) --- Problem solving --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Calculators --- Cyberspace --- Algebra of logic --- Logic, Universal --- Mathematical logic --- Symbolic and mathematical logic --- Symbolic logic --- Mathematics --- Algebra, Abstract --- Metamathematics --- Set theory --- Syllogism