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Data Mining

Most popular at the top

  • 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...

  • Introduction to Privacy-Preserving Data Publishingby Benjamin C.M. Fung; Ke Wang; Ada Wai-Chee Fu; Philip S. Yu

    Taylor and Francis 2010; US$ 104.95

    Gaining access to high-quality data is a vital necessity in knowledge-based decision making. But data in its raw form often contains sensitive information about individuals. Providing solutions to this problem, the methods and tools of privacy-preserving data publishing enable the publication of useful information while protecting data privacy. Introduction... 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...

  • Research and Development in Intelligent Systems XXVIIby Max Bramer; Miltos Petridis; Adrian Hopgood

    Springer 2010; US$ 239.00

    The papers in this volume are the refereed papers presented at AI-2010, the Thirtieth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, held in Cambridge in December 2010 in both the technical and the application streams. They present new and innovative developments and applications, divided into technical... more...

  • Preference Learningby Johannes Furnkranz; Eyke Hullermeier

    Springer 2010; US$ 159.00

    The topic of preferences is a new branch of machine learning and data mining, and it has attracted considerable attention in artificial intelligence research in previous years. It involves learning from observations that reveal information about the preferences of an individual or a class of individuals. Representing and processing knowledge in terms... more...

  • Automated Physical Database Design and Tuningby Nicolas Bruno

    Taylor and Francis 2011; US$ 87.95

    Due to the increasing complexity in application workloads and query engines, database administrators are turning to automated tuning tools that systematically explore the space of physical design alternatives. A critical element of such tuning is physical database design since the choice of physical structures has a significant impact on the performance... more...

  • Understanding Oracle Clinicalby Joan M. Johnson

    O'Reilly Media 2007; US$ 9.99

    This Short Cut is written to assist you, an Oracle Clinical Developer, with many of the tasks and decisions you may encounter on an occasional basis. These tasks involve study setup and maintenance, account maintenance, handling discrepancies, preparing data sets for analysis, batch-loading data, altering system-level settings and defining standard... more...

  • SQL Server 2005 Reporting Essentialsby Bill Hamilton

    O'Reilly Media 2006; US$ 7.99

    SQL Server 2005 Reporting Services allows you to design, create, view, and manage reports. Reports can be distributed and managed over the Web. End users can create, publish, and share ad hoc reports-all using web-based tools. This book shows you how to use Report Builder, a tool that lets information workers build ad hoc reports, and how... more...

  • Spring Databy Mark Pollack; Oliver Gierke; Thomas Risberg; Jon Brisbin; Michael Hunger

    O'Reilly Media 2012; US$ 33.99

    You can choose several data access frameworks when building Java enterprise applications that work with relational databases. But what about big data? This hands-on introduction shows you how Spring Data makes it relatively easy to build applications across a wide range of new data access technologies such as NoSQL and Hadoop. Through several sample... more...

  • Data-Intensive Scienceby Terence Critchlow

    CRC Press 2013; US$ 89.95

    Data-intensive science has the potential to transform scientific research and quickly translate scientific progress into complete solutions, policies, and economic success. But this collaborative science is still lacking the effective access and exchange of knowledge among scientists, researchers, and policy makers across a range of disciplines. Bringing... more...