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Data mining

Most popular at the top

  • Analysis and Visualization of Citation Networksby Dangzhi Zhao; Andreas Strotmann

    Morgan & Claypool Publishers 2015; US$ 55.00

    Citation analysis?the exploration of reference patterns in the scholarly and scientific literature?has long been applied in a number of social sciences to study research impact, knowledge flows, and knowledge networks. It has important information science applications as well, particularly in knowledge representation and in information retrieval. Recent... more...

  • Expert Cube Development with Microsoft SQL Server 2008 Analysis Servicesby Alberto Ferrari; Chris Webb; Marco Russo

    Packt Publishing 2009; US$ 29.99

    Design and implement fast, scalable and maintainable cubes with Microsoft SQL Server 2008 Analysis Services with this book and eBook more...

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

    Springer 2010; US$ 229.00

    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...

  • Knowledge Discovery in Spatial Databy Yee Leung

    Springer 2010; US$ 209.00

    This book deals with knowledge discovery and data mining in spatial and temporal data, seeking to present novel methods that can be employed to discover spatial structures and processes in complex data. Spatial knowledge discovery is examined through the tasks of clustering, classification, association/relationship, and process. Among the covered topics... more...

  • Emergent Web Intelligenceby Richard Chbeir; Youakim Badr; Ajith Abraham

    Springer 2010; US$ 209.00

    Web Intelligence explores the impact of artificial intelligence and advanced information technologies representing the next generation of Web-based systems, services, and environments, and designing hybrid web systems that serve wired and wireless users more efficiently. Multimedia and XML-based data are produced regularly and in increasing way in... more...

  • Intersectionby Milan Guenther

    Elsevier Science 2012; US$ 49.95

    Many organizations struggle with the dynamics and the complexity of today's social ecosystems that connect everyone and everything, everywhere and all the time. Facing challenges at the intersection of business models, technical developments, and human needs, modern enterprises must overcome the siloed thinking and isolated efforts of the past, and... more...

  • Data Mining Methods for the Content Analystby Kalev Leetaru

    Taylor and Francis 2012; US$ 39.95

    With continuous advancements and an increase in user popularity, data mining technologies serve as an invaluable resource for researchers across a wide range of disciplines in the humanities and social sciences. In this comprehensive guide, author and research scientist Kalev Leetaru introduces the approaches, strategies, and methodologies of current... more...

  • R and Data Miningby Yanchang Zhao

    Elsevier Science 2012; US$ 79.95

    R and Data Mining introduces researchers, post-graduate students, and analysts to data mining using R, a free software environment for statistical computing and graphics. The book provides practical methods for using R in applications from academia to industry to extract knowledge from vast amounts of data. Readers will find this book a valuable... more...

  • Too Big to Ignoreby Phil Simon

    Wiley 2013; US$ 50.00

    Residents in Boston, Massachusetts are automatically reporting potholes and road hazards via their smartphones. Progressive Insurance tracks real-time customer driving patterns and uses that information to offer rates truly commensurate with individual safety. Google accurately predicts local flu outbreaks based upon thousands of user search queries.... more...

  • Data Mining and Business Analytics with Rby Johannes Ledolter

    Wiley 2013; US$ 129.00

    Collecting, analyzing, and extracting valuable information from a large amount of data requires easily accessible, robust, computational and analytical tools. Data Mining and Business Analytics with R utilizes the open source software R for the analysis, exploration, and simplification of large high-dimensional data sets. As a result, readers are... more...