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        Bisociative Knowledge Discovery: An Introduction to Concept, Algorithms, Tools, and Applications

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        Author(s)
        Berthold, Michael R.
        Language
        English
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        Abstract
        Artificial Intelligence (incl. Robotics); Data Mining and Knowledge Discovery; Information Systems Applications (incl. Internet); User Interfaces and Human Computer Interaction; Pattern Recognition; Computer Communication Networks
        URI
        http://library.oapen.org/handle/20.500.12657/28129
        Keywords
        Artificial Intelligence (incl. Robotics); Data Mining and Knowledge Discovery; Information Systems Applications (incl. Internet); User Interfaces and Human Computer Interaction; Pattern Recognition; Computer Communication Networks; Artificial Intelligence (incl. Robotics); Data Mining and Knowledge Discovery; Information Systems Applications (incl. Internet); User Interfaces and Human Computer Interaction; Pattern Recognition; Computer Communication Networks; Textbook
        DOI
        10.1007/978-3-642-31830-6
        ISBN
        9783642318290
        OCN
        1082998791
        Publisher
        Springer Nature
        Publisher website
        https://www.springernature.com/gp/products/books
        Publication date and place
        Cham, 2012
        Series
        Lecture Notes in Computer Science, 7250
        Classification
        Library and information sciences / Museology
        Energy industries and utilities
        Manufacturing industries
        Information technology industries
        History of engineering and technology
        Biochemical engineering
        Collecting coins, banknotes, medals and other related items
        Pages
        485
        Rights
        https://creativecommons.org/licenses/by-nc/4.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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