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Database management

  • Oracle8iby Michael Abbey; Ian Abramson; Michael J. Corey

    McGraw-Hill 1999; US$ 44.99

    Explains the core concepts and new tools included in a fully Web-enabled release of the most powerful database management system available. Softcover. more...

  • Peer-to-Peer Data Managementby Karl Aberer

    Morgan & Claypool Publishers 2011; US$ 40.00

    This lecture introduces systematically into the problem of managing large data collections in peer-to-peer systems. Search over large datasets has always been a key problem in peer-to-peer systems and the peer-to-peer paradigm has incited novel directions in the field of data management. This resulted in... more...

  • Cluster Analysis for Data Mining and System Identificationby János Abonyi; Balázs Feil

    Springer 2007; US$ 109.99

    Identifies fuzzy cluster analysis as a good approach to solving complex data mining and system identification problems. This work illustrates how advanced fuzzy clustering algorithms can be used for partitioning of the data, and also for visualization, regression, classification and time-series analysis. more...

  • Oracle Database 11g: A Beginner's Guide EBOOKby Ian Abramson; Michael Abbey; Michael Corey

    McGraw-Hill 2008; US$ 52.00

    Get a Solid Foundation in Oracle Database Technology Master Oracle Database 11 g fundamentals quickly and easily. Using self-paced tutorials, this book covers core database essentials, the role of the administrator, high availability, and large database features. Oracle Database 11g: A Beginner's Guide walks you, step by step, through database... more...

  • Mastering Data Warehouse Aggregatesby Christopher Adamson

    Wiley 2006; US$ 60.00

    This is the first book to provide in-depth coverage of star schema aggregates used in dimensional modeling-from selection and design, to loading and usage, to specific tasks and deliverables for implementation projects Covers the principles of aggregate schema design and the pros and cons of various types of commercial solutions for navigating and... more...

  • The Burrows-Wheeler Transformby Donald Adjeroh; Timothy Bell; Amar Mukherjee

    Springer 2008; US$ 129.99

    The Burrows-Wheeler Transform is a text transformation scheme that has found applications in different aspects of the data explosion problem, from data compression to index structures and search. The BWT belongs to a new class of compression algorithms, distinguished by its ability to perform compression by sorted contexts. More recently, the BWT has... more...

  • Beginning VB 2008 Databasesby Vidya Vrat Agarwal; James Huddleston

    Springer 2008; US$ 44.99

    This beginner's guide to Visual Basic 2008 databases teaches professionals everything they need to know about relational databases, SQL, and ADO.NET 2.0, providing a sound start in developing console and Windows database applications. more...

  • Data Streamsby Charu C. Aggarwal

    Springer-Verlag New York Inc 2007; US$ 119.99

    Discusses issues related to the mining aspects of data streams. Each chapter in this book contains a survey on the topic, the key ideas in the field for that particular topic, and future research directions. It is intended for a professional audience composed of researchers and practitioners in industry. more...

  • Managing and Mining Graph Databy Charu C. Aggarwal; Haixun Wang

    Springer 2010; US$ 149.99

    Managing and Mining Graph Data is a comprehensive survey book in graph management and mining. It contains extensive surveys on a variety of important graph topics such as graph languages, indexing, clustering, data generation, pattern mining, classification, keyword search, pattern matching, and privacy. It also studies a number of domain-specific... more...

  • Privacy-Preserving Data Miningby Charu C. Aggarwal; Philip S. Yu

    Springer 2008; US$ 119.99

    Advances in hardware technology have increased the capability to store and record personal data about consumers and individuals, causing concerns that personal data may be used for a variety of intrusive or malicious purposes. Privacy-Preserving Data Mining: Models and Algorithms proposes a number of techniques to perform the data mining tasks in a... more...