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Data mining

  • Cluster Analysis for Data Mining and System Identificationby János Abonyi; Balázs Feil

    Springer 2007; US$ 139.00

    Identifies fuzzy cluster analysis as a good approach to solving complex data mining and system identification problems. This work illustrates how advanced fuzzy clustering algorithms can be used for partitioning of the data, and also for visualization, regression, classification and time-series analysis. more...

  • Data Streamsby Charu C. Aggarwal

    Springer-Verlag New York Inc 2007; US$ 199.00

    Discusses issues related to the mining aspects of data streams. Each chapter in this book contains a survey on the topic, the key ideas in the field for that particular topic, and future research directions. It is intended for a professional audience composed of researchers and practitioners in industry. 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...

  • Privacy-Preserving Data Miningby Charu C. Aggarwal; Philip S. Yu

    Springer 2008; US$ 209.00

    Advances in hardware technology have increased the capability to store and record personal data about consumers and individuals, causing concerns that personal data may be used for a variety of intrusive or malicious purposes. Privacy-Preserving Data Mining: Models and Algorithms proposes a number of techniques to perform the data mining tasks in a... more...

  • Mining Text Databy Charu C. Aggarwal; ChengXiang Zhai

    Springer 2012; US$ 149.00

    Text mining applications have experienced tremendous advances because of web 2.0 and social networking applications. Recent advances in hardware and software technology have lead to a number of unique scenarios where text mining algorithms are learned. "Mining Text Data" introduces an important niche in the text analytics field, and is an... more...

  • Computational Framework for Knowledgeby Syed V. Ahamed

    Wiley 2009; US$ 177.00

    "Intriguing . . . [filled with] new ideas about overarching intellectual themes that govern our technologies and our society." — Nikil Jayant , Eminent Scholar, Georgia Research Alliance "Dr. Ahamed is correct in observing that 'silicon and glass have altered the rhythm of mind' and that computers need to be more 'human.'" — Bishnu S. Atal... more...

  • Visual Data Miningby Russell K. Anderson

    Wiley 2012; US$ 78.00

      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... more...

  • Data Mining and Applications in Genomicsby Sio-Iong Ao

    Springer 2008; US$ 169.00

    Contains the data mining algorithms and their applications in genomics, with frontier case studies based on the works at the University of Hong Kong and the Oxford University Computing Laboratory, University of Oxford. This title provides an introduction to the use of data mining algorithms as an investigative tool for applications in genomics. more...

  • Advanced Methods for Knowledge Discovery from Complex Databy Sanghamitra Bandyopadhyay; Ujjwal Maulik; Larry B. Holder

    Springer 2006; US$ 169.00

    Knowledge discovery takes the raw results from data mining (the process of extracting trends or patterns from data) and transforms them into useful and understandable information. This book covers introductory material on the knowledge discovery process, advanced issues, and tools and techniques. more...

  • Survey of Text Mining 2by Michael W. Berry; Malu Castellanos

    Springer 2007; US$ 109.00

    The proliferation of digital computing devices and their use in communication has resulted in an increased demand for systems and algorithms capable of mining textual data. Thus, the development of techniques for mining unstructured, semi-structured, and fully-structured textual data has become increasingly important in both academia and industry.... more...