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Data mining

Most popular at the top

  • 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...

  • Knowledge Discovery and Data Miningby

    Springer Berlin Heidelberg 2012; US$ 399.00

    This volume features over 100 selected papers extended and revised from the 4th International conference on Knowledge Discovery and Data Mining, WKDD 2012, held March 2011 in Macau, China. more...

  • Introduction to Data Mining for the Life Sciencesby Rob Sullivan

    Humana Press 2012; US$ 209.00

    Data mining provides a set of new techniques to integrate, synthesize, and analyze tdata, uncovering the hidden patterns that exist within. Traditionally, techniques such as kernel learning methods, pattern recognition, and data mining, have been the domain of researchers in areas such as artificial intelligence, but leveraging these tools, techniques,... 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...

  • 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...

  • Recent Progress in Data Engineering and Internet Technologyby

    Springer Berlin Heidelberg 2012; US$ 329.00

    The latest inventions in internet technology influence most of business and daily activities. Internet security, internet data management, web search, data grids, cloud computing, and web-based applications play vital roles, especially in business and industry, as more transactions go online and mobile. Issues related to ubiquitous computing are becoming... more...

  • Intersectionby Milan Guenther

    Elsevier Science 2012; US$ 49.95

    Many organizations struggle with the dynamics and the complexity of today's social ecosystems that connect everyone and everything, everywhere and all the time. Facing challenges at the intersection of business models, technical developments, and human needs, modern enterprises must overcome the siloed thinking and isolated efforts of the past, and... more...

  • Visual Data Miningby Russell K. Anderson

    Wiley 2012; US$ 81.00

    A visual approach to data mining. Data mining has been defined as the search for useful and previously unknown patterns in large datasets, yet when faced with the task of mining a large dataset, it is not always obvious where to start and how to proceed. This book introduces a visual methodology for data mining demonstrating the application of... more...