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Data mining

Most popular at the top

  • Data Miningby Robert Stahlbock; Sven F. Crone; Stefan Lessmann

    Springer 2009; US$ 209.00

    Over the course of the last twenty years, research in data mining has seen a substantial increase in interest, attracting original contributions from various disciplines including computer science, statistics, operations research, and information systems. Data mining supports a wide range of applications, from medical decision making, bioinformatics,... more...

  • Building Successful Information Systemsby Michael J. Savoie

    Business Expert Press 2012; US$ 19.95

    Information systems are a critical component of business success today. Unfortunately, many companies do not truly understand what an information system is; where, when, and how it should be implemented; or the effects of integrating it into the organization. As such, we continue to see implementation horror stories of projects run amuck? going over... more...

  • Principles of Data Miningby Max Bramer

    Springer 2013; US$ 59.95

    Data Mining, the automatic extraction of implicit and potentially useful information from data, is increasingly used in commercial, scientific and other application areas.Principles of Data Mining explains and explores the principal techniques of Data Mining: for classification, association rule mining and clustering. Each topic is clearly explained... more...

  • Data Mining in Large Sets of Complex Databy Robson L. F. Cordeiro; Christos Faloutsos; Caetano Traina Júnior

    Springer 2013; US$ 39.95

    The amount and the complexity of the data gathered by current enterprises are increasing at an exponential rate. Consequently, the analysis of Big Data is nowadays a central challenge in Computer Science, especially for complex data. For example, given a satellite image database containing tens of Terabytes, how can we find regions aiming at identifying... more...

  • Imbalanced Learningby Haibo He; Yunqian Ma

    Wiley 2013; US$ 120.00

    The first book of its kind to review the current status and future direction of the exciting new branch of machine learning/data mining called imbalanced learning Imbalanced learning focuses on how an intelligent system can learn when it is provided with imbalanced data. Solving imbalanced learning problems is critical in numerous data-intensive... more...

  • Getting Started with Greenplum for Big Data Analyticsby Sunila Gollapudi

    Packt Publishing 2013; US$ 23.99

    Standard tutorial-based approach."Getting Started with Greenplum for Big Data" Analytics is great for data scientists and data analysts with a basic knowledge of Data Warehousing and Business Intelligence platforms who are new to Big Data and who are looking to get a good grounding in how to use the Greenplum Platform. It?s assumed that you will have... more...

  • Reasoning Techniques for the Web of Databy A. Hogan

    IOS Press 2014; US$ 87.00

    Linked Data publishing has brought about a novel ?Web of Data?: a wealth of diverse, interlinked, structured data published on the Web. These Linked Datasets are described using the Semantic Web standards and are openly available to all, produced by governments, businesses, communities and academia alike. However, the heterogeneity of such data ? in... more...

  • Advances In Data Mining And Modelingby Wai-Ki Ching; Michael Kwok-Po Ng

    World Scientific Publishing Company 2003; US$ 193.00

    Data mining and data modeling are hot topics and are under fast development. Because of their wide applications and rich research contents, many practitioners and academics are attracted to work in these areas. With a view to promoting communication and collaboration among the practitioners and researchers in Hong Kong, a workshop on data mining and... more...

  • Unervised Learning via Self-Organizationby Matthew Kyan; Paisarn Muneesawang; Kambiz Jarrah; Ling Guan

    Wiley 2014; US$ 125.00

    A new approach to unsupervised learning Evolving technologies have brought about an explosion of information in recent years, but the question of how such information might be effectively harvested, archived, and analyzed remains a monumental challenge—for the processing of such information is often fraught with the need for conceptual interpretation:... more...