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Data mining

Most popular at the top

  • Searching for Patternsby Thomas Chesney

    Nottingham University Press 2010; US$ 15.99

    Examining the science behind everyday predictions—such as why the supermarket sends particular coupons to the appropriate people and how a bank can foretell if someone will default on a loan within a few minutes—this guide explains the basics of what data mining is, details a variety of data mining and techniques, and profiles the key figures behind... more...

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

    Wiley 2011; US$ 100.00

    Focuses on insights, approaches, and techniques that are essential to designing interactive graphics and visualizations Making Sense of Data III: A Practical Guide to Designing Interactive Data Visualizations explores a diverse range of disciplines to explain how meaning from graphical representations is extracted. Additionally, the book describes... more...

  • Taming The Big Data Tidal Waveby Bill Franks

    Wiley 2012; US$ 49.95

    You receive an e-mail. It contains an offer for a complete personal computer system. It seems like the retailer read your mind since you were exploring computers on their web site just a few hours prior?. As you drive to the store to buy the computer bundle, you get an offer for a discounted coffee from the coffee shop you are getting ready to drive... more...

  • Data Mining Tools for Malware Detectionby Mehedy Masud; Latifur Khan; Bhavani Thuraisingham

    CRC Press 2012; US$ 92.95

    Introduction Trends Data Mining and Security Technologies Data Mining for Email Worm Detection Data Mining for Malicious Code Detection Data Mining for Detecting Remote Exploits Data Mining for Botnet Detection Stream Data Mining  Emerging Data Mining Tools for Cyber Security Applications Organization of This Book Next Steps Part... more...

  • Practical Data Miningby Monte F. Jr. Hancock

    CRC Press 2011; US$ 99.95

    What Is Data Mining and What Can It Do? Introduction A Brief Philosophical Discussion The Most Important Attribute of the Successful Data Miner: Integrity What Does Data Mining Do? What Do We Mean By Data? Data Complexity Computational Complexity Summary The Data Mining Process Introduction Discovery and Exploitation Eleven Key Principles... more...

  • Ensemble Methods in Data Miningby Giovanni Seni; John Elder

    Morgan & Claypool Publishers 2010; US$ 35.00

    Ensemble methods have been called the most influential development in Data Mining and Machine Learning in the past decade. They combine multiple models into one usually more accurate than the best of its components. Ensembles can provide a critical boost to industrial challenges -- from investment timing to drug discovery, and fraud detection to recommendation... more...

  • Introduction to Data Mining for the Life Sciencesby Rob Sullivan

    Humana Press 2012; US$ 209.00

    Data mining involves uncovering the patterns inherent within the data Provides a set of techniques that can help the life scientist leverage the valuable data asset With each set of techniques are tangible examples to support them more...

  • 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...