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Data Mining

Most popular at the top

  • Oracle Essbase & Oracle OLAPby Michael Schrader; Dan Vlamis; Mike Nader; Chris Claterbos; Dave Collins; Mitch Campbell; Floyd Conrad

    McGraw-Hill Education 2009; US$ 63.00

    The only book to cover and compare Oracle's online analytic processing products With the acquisition of Hyperion Systems in 2007, Oracle finds itself owning the two most capable OLAP products on the market--Essbase and the OLAP Option to the Oracle Database. Written by the most knowledgeable experts on both Essbase and Oracle OLAP, this Oracle... more...

  • Microsoft SQL Server 2012 A Beginners Guide 5/Eby Dusan Petkovic

    McGraw-Hill Education 2011; US$ 40.00

    Essential Microsoft SQL Server 2012 Skills Made Easy Get up and running on Microsoft SQL Server 2012 in no time with help from this thoroughly revised, practical resource. Filled with real-world examples and hands-on exercises, Microsoft SQL Server 2012: A Beginner's Guide, Fifth Edition starts by explaining fundamental relational database system... more...

  • Oracle Database 12c New Featuresby Robert Freeman

    McGraw-Hill Education 2013; US$ 35.00

    Maximize the New and Improved Features of Oracle Database 12 c Written by Master Principle Database Expert, Oracle, and Oracle ACE Robert G. Freeman, this Oracle Press guide describes the myriad new and enhanced capabilities available in the latest Oracle Database release. Inside, you?ll find everything you need to know to get up and running quickly... more...

  • Predictive Analytics Using Oracle Data Minerby Brendan Tierney

    McGraw-Hill Education 2014; US$ 85.00

    Build Next-Generation In-Database Predictive Analytics Applications with Oracle Data Miner ?If you have an Oracle Database and want to leverage that data to discover new insights, make predictions, and generate actionable insights, this book is a must read for you! In Predictive Analytics Using Oracle Data Miner: Develop & Use Oracle Data Mining... more...

  • Machine Learning Techniques for Multimediaby Matthieu Cord; Padraig Cunningham

    Springer 2008; US$ 189.00

    Processing multimedia content has emerged as a key area for the application of machine learning techniques, where the objectives are to provide insight into the domain from which the data is drawn, and to organize that data and improve the performance of the processes manipulating it. Applying machine learning techniques to multimedia content involves... more...

  • Advances in Machine Learning and Data Analysisby Sio-Iong Ao; Burghard B. Rieger; Mahyar Amouzegar

    Springer 2009; US$ 149.00

    This volume contains sixteen revised and extended research articles written by prominent researchers participating in the conference. Topics covered include Expert system, Intelligent decision making, Knowledge-based systems, Knowledge extraction, Data analysis tools, Computational biology, Optimization algorithms, Experiment designs, Complex system... more...

  • Preference Learningby Johannes Fürnkranz; Eyke Hüllermeier

    Springer Berlin Heidelberg 2010; US$ 159.00

    The first book dedicated to this new branch of machine learning and data mining, this comprehensive treatment, which covers everything from label ranking to preference learning and recommender systems, will be required reading for researchers working in AI. more...

  • FileMaker 8.5: Integrating the Webby Susan Prosser

    O'Reilly Media 2006; US$ 7.99

    FileMaker Pro, famed for power and ease of use, has added a suite of new features that can seriously boost your database productivity. This tutorial helps you take full advantage of the fresh stuff. It focuses on FileMaker's terrific new tool for integrating the Web with your databases: the Web Viewer. Step-by-step instructions help you create a... more...

  • The Evolution of Data Productsby Mike Loukides

    O'Reilly Media 2011; US$ 0.00

    This report examines the important shifts in data products. Drawing from diverse examples, including iTunes, Google's self-driving car, and patient monitoring, author Mike Loukides explores the "disappearance" of data, the power of combining data, and the difference between discovery and recommendation. Looking ahead, the analysis finds the real changes... more...

  • Statistical and Machine Learning Approaches for Network Analysisby Matthias Dehmer; Subhash C. Basak

    Wiley 2012; US$ 123.00

    Explore the multidisciplinary nature of complex networks through machine learning techniques Statistical and Machine Learning Approaches for Network Analysis provides an accessible framework for structurally analyzing graphs by bringing together known and novel approaches on graph classes and graph measures for classification. By providing different... more...