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Data mining

Most popular at the top

  • Data Mining IXby A. Zanasi; D. Almorza Gomar; N.F.F. Ebecken; C.A. Brebbia

    WIT Press 2008; US$ 242.00

    This book contains papers presented at the ninth International Conference on Data Mining, Protection, Detection and other Security Technologies held at the University of Cádiz in Spain, 2008. The applications of Data Mining are important in business, particularly large companies and government agencies, and this market is still going through a... more...

  • Data Mining In Time Series Databasesby Mark Last; Abraham Kandel; Horst Bunke

    World Scientific Publishing Company 2004; US$ 97.00

    Adding the time dimension to real-world databases produces Time Series Databases (TSDB) and introduces new aspects and difficulties to data mining and knowledge discovery. This book covers the state-of-the-art methodology for mining time series databases. The novel data mining methods presented in the book include techniques for efficient segmentation,... more...

  • Data Mining Methods and Applicationsby Kenneth D. Lawrence; Stephan Kudyba; Ronald K. Klimberg

    CRC Press 2007; US$ 125.95

    With today?s information explosion, many organizations are now able to access a wealth of valuable data. Unfortunately, most of these organizations find they are ill-equipped to organize this information, let alone put it to work for them. Gain a Competitive Advantage Employ data mining in research and forecasting Build models with data management... more...

  • Data Mining Methods for the Content Analystby Kalev Leetaru

    Taylor and Francis 2012; US$ 40.95

    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...

  • Data Mining Using Grammar Based Genetic Programming and Applicationsby Man Leung Wong; Kwong Sak Leung

    Springer US 2006; US$ 259.00

    Data mining involves the non-trivial extraction of implicit, previously unknown, and potentially useful information from databases. Genetic Programming (GP) and Inductive Logic Programming (ILP) are two of the approaches for data mining. This book first sets the necessary backgrounds for the reader, including an overview of data mining, evolutionary... more...

  • Data Mining Using SAS Enterprise Minerby Randall Matignon

    Wiley 2007; US$ 130.00

    The most thorough and up-to-date introduction to data mining techniques using SAS Enterprise Miner. The Sample, Explore, Modify, Model, and Assess (SEMMA) methodology of SAS Enterprise Miner is an extremely valuable analytical tool for making critical business and marketing decisions. Until now, there has been no single, authoritative book that... more...

  • Data Mining VIIby A. Zanasi; S.A. Temis; C. A. Brebbia; N.F.F. Ebecken

    WIT Press 2006; US$ 412.00

    This book features papers from the Seventh International Conference on Data Mining and Information Engineering. State-of-the-art research results are brought together with practical development experiences from researchers and application developers from many different areas.The Conference provides a platform for discussion of theoretical and applicative... more...

  • Data Mining VIIIby A. Zanasi; C. A. Brebbia; Coppe Ebecken

    WIT Press 2007; US$ 272.00

    During this last year we have witnessed the growth of the European Union's interest for data mining, especially when applied to unstructured data (eg. text mining). This is the proof that data mining is surely seen not only as an exciting research area but also as a technology that may solve current European citizens' delicate problems such... more...

  • Data Mining Xby A. Zanasi; N. F. F. Ebecken; C. A. Brebbia

    WIT Press 2009; US$ 182.00

    Since the end of the Cold War, the threat of large-scale wars has been substituted by new threats: terrorism, organised crime, trafficking, smuggling, proliferation of weapons of mass destruction. To react to them, a security strategy is necessary, but in order to be effective it requires several instruments, including technological tools. Consequently,... 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...