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Data mining

Most popular at the top

  • Unervised Learningby Matthew Kyan; Paisarn Muneesawang; Kambiz Jarrah; Ling Guan

    Wiley 2014; US$ 125.00

    MATTHEW KYAN received his Ph.D. in Electrical Engineering in 2007 from the University of Sydney, Australia, winning the Siemens National Prize for Innovation for his work with 3-D confocal imaging. He is currently an Assistant Professor at Ryerson University, Toronto, Canada. PAISARN MUNEESAWANG received his Ph.D. from the school of Electrical... more...

  • Knowledge Mining Using Intelligent Agentsby Satchidananda Dehuri; Sung-Bae Cho

    World Scientific Publishing Company 2010; US$ 140.00

    "Knowledge Mining Using Intelligent Agents" explores the concept of knowledge discovery processes and enhances decision-making capability through the use of intelligent agents like ants, termites and honey bees. In order to provide readers with an integrated set of concepts and techniques for understanding knowledge discovery and its practical... more...

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

    World Scientific Publishing Company 2004; US$ 168.00

    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 Miningby Ian H. Witten; Eibe Frank

    Elsevier Science 2005; US$ 74.95

    As with any burgeoning technology that enjoys commercial attention, the use of data mining is surrounded by a great deal of hype. Exaggerated reports tell of secrets that can be uncovered by setting algorithms loose on oceans of data. But there is no magic in machine learning, no hidden power, no alchemy. Instead there is an identifiable body of practical... more...

  • Pattern Recognition Algorithms for Data Miningby Sankar K. Pal; Pabitra Mitra

    Taylor and Francis 2004; US$ 119.95

    Pattern Recognition Algorithms for Data Mining addresses different pattern recognition (PR) tasks in a unified framework with both theoretical and experimental results. Tasks covered include data condensation, feature selection, case generation, clustering/classification, and rule generation and evaluation. This volume presents various theories, methodologies,... more...

  • Graph-theoretic Techniques For Web Content Miningby Adam Schenker; Abraham Kandel; Horst Bunke; Mark Last

    World Scientific Publishing Company 2005; US$ 216.00

    This book describes exciting new opportunities for utilizing robust graph representations of data with common machine learning algorithms. Graphs can model additional information which is often not present in commonly used data representations, such as vectors. more...

  • Data Mining with Computational Intelligenceby Lipo Wang

    Springer-Verlag Berlin and Heidelberg GmbH & Co. KG 2006; US$ 179.00

    Finding information hidden in data is as theoretically difficult as it is practically important. This book focuses on three main data mining tasks: data dimensionality reduction, classification, and rule extraction. It is targeted at researchers in both academia and industry, and also at graduate students and developers of data mining systems. more...

  • Handbook of Statisticsby C.R. Rao

    Elsevier Science 2005; US$ 305.00

    This book focuses on dealing with large-scale data, a field commonly referred to as data mining. The book is divided into three sections. The first deals with an introduction to statistical aspects of data mining and machine learning and includes applications to text analysis, computer intrusion detection, and hiding of information in digital files.... more...

  • Multi-Relational Data Miningby A.J. Knobbe

    IOS Press 2006; US$ 85.00

    With the increased possibilities in modern society for companies and institutions to gather data cheaply and efficiently, the subject of Data Mining has become of increasing importance. This work looks into the different uses of Data Mining, covering the subject of Multi-Relational Data Mining (MRDM), the approach to Structured Data Mining. more...

  • MCSE 70-293 Exam Prepby Will Schmied

    Pearson Education 2006; US$ 51.99

    The MCSE 70-293 Exam Prep is the most accurate, comprehensive, and up-to-date study guide if you are preparing for one of the four core exams required of this popular Microsoft certification. Updated for R2 versions of the product and the exam, this book serves as both a learning and practice tool. Organized according to the exam objectives, which... more...