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Data Mining

Most popular at the top

  • Microsoft SQL Server 2012 T-SQL Fundamentalsby Itzik Ben-Gan

    Microsoft Press 2012; US$ 39.99

    Gain a solid understanding of T-SQL?and write better queries Master the fundamentals of Transact-SQL?and develop your own code for querying and modifying data in Microsoft® SQL Server® 2012. Led by a SQL Server expert, you?ll learn the concepts behind T-SQL querying and programming, and then apply your knowledge with exercises in each chapter.... more...

  • Linked Data Managementby Andreas Harth; Katja Hose; Ralf Schenkel

    Taylor and Francis 2014; US$ 99.95

    Linked Data Management presents techniques for querying and managing Linked Data that is available on today?s Web. The book shows how the abundance of Linked Data can serve as fertile ground for research and commercial applications. The text focuses on aspects of managing large-scale collections of Linked Data. It offers a detailed introduction... more...

  • Microsoft Access 2013 Plain & Simpleby Andrew Couch

    Microsoft Press 2013; US$ 19.99

    Learn the simplest ways to get things done with Microsoft Access 2013 Get the full-color, visual guide that makes learning Microsoft Access 2013 plain and simple! Follow the book?s easy steps and screenshots and clear, concise language to learn the simplest ways to build a database and sort information. Here?s WHAT you?ll learn: Build... more...

  • Microsoft Access 2013 Inside Outby Jeff Conrad

    Microsoft Press 2013; US$ 43.99

    Conquer Microsoft Access 2013?from the inside out! You?re beyond the basics, so dive right into Access 2013?and use your skills to create sophisticated database apps! This supremely organized reference packs hundreds of timesaving solutions, troubleshooting tips, and workarounds. It?s all muscle and no fluff. Discover how the experts tackle... more...

  • RavenDB High Performanceby Brian Ritchie

    Packt Publishing 2013; US$ 23.99

    RavenDB High Performance is comprehensive yet concise tutorial that developers can use to maximize the efficiency and optimization of RavenDB itself.This book is for developers & software architects who are designing systems in order to achieve high performance right from the start. A basic understanding of RavenDB is recommended, but not required.... more...

  • Digital Exhaustby Dale Neef

    Pearson Education 2014; US$ 49.99

    Will "Big Data" supercharge the economy, tyrannize us, or both? Data Exhaust is the definitive primer for everyone who wants to understand all the implications of Big Data, digitally driven innovation, and the accelerating Internet Economy. Renowned digital expert Dale Neef clearly explains: What Big Data really is, and what's... more...

  • Foundations of SQL Server 2005 Business Intelligenceby Lynn Langit

    Springer 2007; US$ 34.99

    Deals with computers/software. more...

  • Practical Text Mining with Perlby Roger Bilisoly

    Wiley 2011; US$ 120.00

    Provides readers with the methods, algorithms, and means to perform text mining tasks This book is devoted to the fundamentals of text mining using Perl, an open-source programming tool that is freely available via the Internet (www.perl.org). It covers mining ideas from several perspectives--statistics, data mining, linguistics, and information... more...

  • Knowledge Discovery with Support Vector Machinesby Lutz H. Hamel

    Wiley 2011; US$ 126.00

    An easy-to-follow introduction to support vector machines This book provides an in-depth, easy-to-follow introduction to support vector machines drawing only from minimal, carefully motivated technical and mathematical background material. It begins with a cohesive discussion of machine learning and goes on to cover: Knowledge discovery environments... more...

  • Relational Data Clusteringby Bo Long; Zhongfei Zhang; Philip S. Yu

    Taylor and Francis 2010; US$ 91.95

    A culmination of the authors? years of extensive research on this topic, Relational Data Clustering : Models, Algorithms, and Applications addresses the fundamentals and applications of relational data clustering. It describes theoretic models and algorithms and, through examples, shows how to apply these models and algorithms to solve real-world... more...