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Data mining

Most popular at the top

  • Adaptive Web Sitesby J.D. Velásquez; V. Palade

    IOS Press 2008; US$ 161.00

    This book can be presented in two different ways; introducing a particular methodology to build adaptive Web sites and; presenting the main concepts behind Web mining and then applying them to adaptive Web sites. In this case, adaptive Web sites is the case study to exemplify the tools introduced in the text. The authors start by introducing the Web... more...

  • Multimedia Data Mining and Knowledge Discoveryby Valery A. Petrushin; Latifur Khan

    Springer 2007; US$ 149.00

    Providing an overview of the field of multimedia data mining and knowledge discovery, this book describes the objectives and tendencies in multimedia data mining research and their applications. It features an introduction to multimedia data mining and its relevance, and presents a global perspective of the field and its various components. more...

  • Advanced Techniques in Knowledge Discovery and Data Miningby Nikhil R. Pal; L.C. Jain

    Springer 2007; US$ 179.00

    Presents advanced tools and techniques available for data and web mining strategies with chapters written by leading world experts. This book provides practicing engineers and scientists with case studies using approaches for data and web mining strategies, and research students with in-depth tutorials on the topics covered. more...

  • Understanding Complex Datasetsby David Skillicorn

    Taylor and Francis 2007; US$ 87.95

    Making obscure knowledge about matrix decompositions widely available, Understanding Complex Datasets: Data Mining with Matrix Decompositions discusses the most common matrix decompositions and shows how they can be used to analyze large datasets in a broad range of application areas. Without having to understand every mathematical detail, the book... more...

  • Symbolic Data Analysis and the SODAS Softwareby Edwin Diday; Monique Noirhomme-Fraiture

    Wiley 2008; US$ 193.00

    Symbolic data analysis is a relatively new field that provides a range of methods for analyzing complex datasets. Standard statistical methods do not have the power or flexibility to make sense of very large datasets, and symbolic data analysis techniques have been developed in order to extract knowledge from such data. Symbolic data methods differ... more...

  • Mathematical Tools for Data Miningby Dan A. Simovici; Chabane Djeraba

    Springer 2008; US$ 209.00

    The maturing of the field of data mining has brought about an increased level of mathematical sophistication. Such disciplines like topology, combinatorics, partially ordered sets and their associated algebraic structures (lattices and Boolean algebras), and metric spaces are increasingly applied in data mining research. This book presents these mathematical... more...

  • Literature-based Discoveryby Peter Bruza; Marc Weeber

    Springer 2008; US$ 159.00

    Literature-based discovery (LBD) is an inherently multi-disciplinary enterprise where collaborations between the information and biomedical sciences are readily encountered. This volume intends to plant a flag in the ground and inspire researchers to the LBD challenge. more...

  • Knowledge Discovery from Sensor Databy Auroop R. Ganguly; Joao Gama; Olufemi A. Omitaomu; Mohamed Gaber; Ranga Raju Vatsavai

    Taylor and Francis 2008; US$ 115.95

    As sensors become ubiquitous, a set of broad requirements is beginning to emerge across high-priority applications including disaster preparedness and management, adaptability to climate change, national or homeland security, and the management of critical infrastructures. This book presents innovative solutions in offline data mining and real-time... 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...

  • Next Generation of Data Miningby Hillol Kargupta; Jiawei Han; Philip S. Yu; Rajeev Motwani; Vipin Kumar

    Taylor and Francis 2008; US$ 104.95

    Drawn from the US National Science Foundation?s Symposium on Next Generation of Data Mining and Cyber-Enabled Discovery for Innovation (NGDM 07), Next Generation of Data Mining explores emerging technologies and applications in data mining as well as potential challenges faced by the field. Gathering perspectives from top experts across different... more...