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Data mining

Most popular at the top

  • Unsupervised Learningby 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...

  • Haskell Data Analysis Cookbookby Nishant Shukla

    Packt Publishing 2014; US$ 32.99

    Step-by-step recipes filled with practical code samples and engaging examples demonstrate Haskell in practice, and then the concepts behind the code. This book shows functional developers and analysts how to leverage their existing knowledge of Haskell specifically for high-quality data analysis. A good understanding of data sets and functional programming... 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...

  • Making Sense of Data Iby Glenn J. Myatt; Wayne P. Johnson

    Wiley 2014; US$ 74.95

    Praise for the First Edition   ?...a well-written book on data analysis and data mining that provides an excellent foundation...? ?CHOICE ?This is a must-read book for learning practical statistics and data analysis...? ?Computing Reviews.com   A proven go-to guide for data analysis, Making Sense of Data I: A Practical Guide... more...

  • Pro Apache Hadoopby Jason Venner; Sameer Wadkar; Madhu Siddalingaiah

    Apress 2014; US$ 31.49

    Pro Apache Hadoop, Second Edition brings you up to speed on Hadoop – the framework of big data. Revised to cover Hadoop 2.0, the book covers the very latest developments such as YARN (aka MapReduce 2.0), new HDFS high-availability features, and increased scalability in the form of HDFS Federations. All the old content has been revised too, giving... more...

  • Research and Development in Intelligent Systems XXXIby Max Bramer; Miltos Petridis

    Springer International Publishing 2014; US$ 259.00

    The papers in this volume are the refereed papers presented at AI-2014, the Thirty-fourth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, held in Cambridge in December 2014 in both the technical and the application streams. They present new and innovative developments and applications, divided... more...

  • Advances in Knowledge Discovery in Databasesby Animesh Adhikari; Jhimli Adhikari

    Springer International Publishing 2014; US$ 179.00

    This book presents recent advances in Knowledge discovery in databases (KDD) with a focus on the areas of market basket database, time-stamped databases and multiple related databases. Various interesting and intelligent algorithms are reported on data mining tasks. A large number of association measures are presented, which play significant roles... more...

  • Multimedia Information Extractionby Mark T. Maybury

    Wiley 2012; US$ 100.95

    The advent of increasingly large consumer collections of audio (e.g., iTunes), imagery (e.g., Flickr), and video (e.g., YouTube) is driving a need not only for multimedia retrieval but also information extraction from and across media. Furthermore, industrial and government collections fuel requirements for stock media access, media preservation, broadcast... more...

  • Data Mining and Statistics for Decision Makingby Tuffé; Sté ry; phane

    Wiley 2011; US$ 99.95

    Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge. Data mining is usually associated with a business or an organization's need to identify trends and profiles,... more...

  • Tech Miningby Alan L. Porter; Scott W. Cunningham

    Wiley 2004; US$ 144.00

    Tech Mining makes exploitation of text databases meaningful to those who can gain from derived knowledge about emerging technologies. It begins with the premise that we have the information, the tools to exploit it, and the need for the resulting knowledge. The information provided puts new capabilities at the hands of technology managers. Using the... more...