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Data Mining

Most popular at the top

  • Probabilistic Approaches to Recommendationsby Nicola Barbieri; Giuseppe Manco; Ettore Ritacco

    Morgan & Claypool Publishers 2014; US$ 45.00

    The importance of accurate recommender systems has been widely recognized by academia and industry, and recommendation is rapidly becoming one of the most successful applications of data mining and machine learning. Understanding and predicting the choices and preferences of users is a challenging task: real-world scenarios involve users behaving in... more...

  • Understanding Big Data Scalabilityby Cory Isaacson

    Pearson Education 2014; US$ 14.99

    Get Started Scaling Your Database Infrastructure for High-Volume Big Data Applications   ?Understanding Big Data Scalability presents the fundamentals of scaling databases from a single node to large clusters. It provides a practical explanation of what ?Big Data? systems are, and fundamental issues to consider when optimizing for performance... more...

  • NoSQL with MongoDB in 24 Hours, Sams Teach Yourselfby Brad Dayley

    Pearson Education 2014; US$ 27.99

    NoSQL database usage is growing at a stunning 50% per year, as organizations discover NoSQL's potential to address even the most challenging Big Data and real-time database problems. Every NoSQL database is different, but one is the most popular by far: MongoDB. Now, in just 24 lessons of one hour or less, you can learn how to leverage MongoDB's... more...

  • Information Security Analyticsby Mark Talabis; Robert McPherson; I Miyamoto; Jason Martin

    Elsevier Science 2014; US$ 59.95

    Information Security Analytics gives you insights into the practice of analytics and, more importantly, how you can utilize analytic techniques to identify trends and outliers that may not be possible to identify using traditional security analysis techniques. Information Security Analytics dispels the myth that analytics within the information... more...

  • Field Guide to Hadoopby Kevin Sitto; Marshall Presser

    O'Reilly Media 2015; US$ 33.99

    If your organization is about to enter the world of big data, you not only need to decide whether Apache Hadoop is the right platform to use, but also which of its many components are best suited to your task. This field guide makes the exercise manageable by breaking down the Hadoop ecosystem into short, digestible sections. You?ll quickly understand... more...

  • Evolutionary Computation in Gene Network Researchby Hitoshi Iba; Nasimul Noman

    Wiley 2015; US$ 140.00

    This book compiles progress on gene regulatory network (GRN) research, focusing particularly on different domains that apply evolutionary algorithms (EAs) as the computational methodology. These areas are the analysis of gene expression data to discover knowledge; the reconstruction of GRN from expression profiles; and the evolution of GRN for target... more...

  • Fraud Analytics Using Descriptive, Predictive, and Social Network Techniquesby Bart Baesens; Veronique Van Vlasselaer; Wouter Verbeke

    Wiley 2015; US$ 49.95

    Fraud detection is more valuable the sooner it is made, because further losses are prevented, potential recoveries are higher, and security issues can be addressed more rapidly, as such avoiding cascading damage to an organization. Detecting fraud in an early stage however is harder than detecting it in an evolved stage, and requires specific techniques... more...

  • Oracle Database 12c The Complete Referenceby Bob Bryla; Kevin Loney

    McGraw-Hill Education 2013; US$ 80.00

    Master the Cutting-Edge Features of Oracle Database 12c Maintain a scalable, highly available enterprise platform and reduce complexity by leveraging the powerful new tools and cloud enhancements of Oracle Database 12c. This authoritative Oracle Press guide offers complete coverage of installation, configuration, tuning, and administration. Find... 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...

  • Scientific Data Mining and Knowledge Discoveryby Mohamed Medhat Gaber

    Springer 2009; US$ 129.00

    With the evolution in data storage, large databases have stimulated researchers from many areas, especially machine learning and statistics, to adopt and develop new techniques for data analysis in different fields of science. In particular, there have been notable successes in the use of statistical, computational, and machine learning techniques... more...