Data Preparation & Mining Books

New and Published Books – Page 9

81. Understanding Complex Datasets

    Data Mining with Matrix Decompositions

    By David Skillicorn

    Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series

    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...

    Published May 16th 2007 by Chapman and Hall/CRC
82. Biodiversity Databases

    Techniques, Politics, and Applications

    Edited by Gordon B. Curry, Chris J. Humphries

    Series: Systematics Association Special Volumes

    Computing and database management has shifted from cottage industry-style methods — the small independent researcher keeping records for a particular project — to state-of-the-art file storage systems, presentation, and distribution over the Internet. New and emerging techniques for recognition,...

    Published April 24th 2007 by CRC Press
83. Clustering for Data Mining

    A Data Recovery Approach

    By Boris Mirkin, Boris Mirkin

    Series: Chapman & Hall/CRC Computer Science & Data Analysis

    Often considered more as an art than a science, the field of clustering has been dominated by learning through examples and by techniques chosen almost through trial-and-error. Even the most popular clustering methods--K-Means for partitioning the data set and Ward's method for hierarchical...

    Published April 28th 2005 by Chapman and Hall/CRC
84. The Handbook of Data Mining

    Edited by Nong Ye

    Created with the input of a distinguished International Board of the foremost authorities in data mining from academia and industry, The Handbook of Data Mining presents comprehensive coverage of data mining concepts and techniques. Algorithms, methodologies, management issues, and tools are all...

    Published November 18th 2004 by CRC Press
85. Pattern Recognition Algorithms for Data Mining

    By Sankar K. Pal, Pabitra Mitra

    Series: Chapman & Hall/CRC Computer Science & Data Analysis

    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...

    Published May 26th 2004 by Chapman and Hall/CRC
86. Statistical Data Mining and Knowledge Discovery

    Edited by Hamparsum Bozdogan

    Massive data sets pose a great challenge to many cross-disciplinary fields, including statistics. The high dimensionality and different data types and structures have now outstripped the capabilities of traditional statistical, graphical, and data visualization tools. Extracting useful information...

    Published July 28th 2003 by Chapman and Hall/CRC
87. Web Data Mining and Applications in Business Intelligence and Counter-Terrorism

    By Bhavani Thuraisingham

    The explosion of Web-based data has created a demand among executives and technologists for methods to identify, gather, analyze, and utilize data that may be of value to corporations and organizations. The emergence of data mining, and the larger field of Web mining, has businesses lost within a...

    Published June 25th 2003 by CRC Press
88. The Domain Theory

    Patterns for Knowledge and Software Reuse

    By Alistair Sutcliffe, A.G. Sutcliffe

    Is this book about patterns? Yes and no. It is about software reuse and representation of knowledge that can be reapplied in similar situations; however, it does not follow the classic Alexandine conventions of the patterns community--i.e. Problem- solution- forces- context- example, etc. Chapter...

    Published February 28th 2002 by CRC Press
89. Intelligent Data Warehousing

    From Data Preparation to Data Mining

    By Zhengxin Chen

    Effective decision support systems (DSS) are quickly becoming key to businesses gaining a competitive advantage, and the effectiveness of these systems depends on the ability to construct, maintain, and extract information from data warehouses. While many still perceive data warehousing as a...

    Published December 12th 2001 by CRC Press
90. Managing and Mining Multimedia Databases

    By Bhavani Thuraisingham

    There is now so much data on the Web that managing it with conventional tools is becoming almost impossible. To manage this data, provide interoperability and warehousing between multiple data sources and systems, and extract information from the databases and warehouses, various tools are being...

    Published June 27th 2001 by CRC Press