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Data Mining: Concepts and Techniques, Third Edition (The Morgan Kaufmann Series in Data Management Systems)

Amazon.com Price:  $49.60 (as of 17/03/2019 20:42 PST- Details)

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Description

The increasing volume of data in modern business and science calls for more complex and sophisticated tools. Even if advances in data mining technology have made extensive data collection much easier, it’s still all the time evolving and there’s a constant need for new techniques and tools that can help us turn out to be this data into useful information and knowledge.

Since the previous edition’s publication, great advances have been made in the field of data mining. Not only does the third of edition of Data Mining: Concepts and Techniques continue the tradition of equipping you with an understanding and application of the theory and practice of discovering patterns hidden in large data sets, it also makes a speciality of new, important topics in the field: data warehouses and data cube technology, mining stream, mining social networks, and mining spatial, multimedia and other complex data. Each chapter is a stand-alone guide to a critical topic, presenting proven algorithms and sound implementations able to be used directly or with strategic modification against live data. This is the resource you want if you wish to apply today’s most powerful data mining techniques to meet real business challenges.

    * Presents dozens of algorithms and implementation examples, all in pseudo-code and suitable to be used in real-world, large-scale data mining projects. * Addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields. *Provides a comprehensive, practical look at the concepts and techniques you want to get the most out of your data

    The increasing volume of data in modern business and science calls for more complex and sophisticated tools. Even if advances in data mining technology have made extensive data collection much easier, it’s still evolving and there’s a constant need for new techniques and tools that can help us turn out to be this data into useful information and knowledge.

    Since the previous edition’s publication, great advances have been made in the field of data mining. Not only does the third of edition of Data Mining: Concepts and Techniques continue the tradition of equipping you with an understanding and application of the theory and practice of discovering patterns hidden in large data sets, it also makes a speciality of new, important topics in the field: data warehouses and data cube technology, mining stream, mining social networks, and mining spatial, multimedia and other complex data. Each chapter is a stand-alone guide to a critical topic, presenting proven algorithms and sound implementations able to be used directly or with strategic modification against live data. This is the resource you want if you wish to apply today’s most powerful data mining techniques to meet real business challenges.

    • Presents dozens of algorithms and implementation examples, all in pseudo-code and suitable to be used in real-world, large-scale data mining projects.
    • Addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields.
    • Provides a comprehensive, practical look at the concepts and techniques you want to get the most out of your data
    Read a Sample Chapter from Data Mining: Concepts and Techniques

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