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ex: Harry +Potter will return results with the word 'Potter'.
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ex: Harry -Potter will return results without the word 'Potter'.
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ex: Harry AND Potter will return results with both 'Harry' and 'Potter'.
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ex: Harry OR Potter will return results with just 'Harry', results with just 'Potter' and results with both 'Harry' and 'Potter'.
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ex: Pot*er will return results with words starting with 'Pot' and ending in 'er'. In this case, 'Potter' will be a match.
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OverviewSymbolic 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 a data. Classification Methodology for Symbolic Data:* Provides new classification methodologies for histogram valued data reaching across many fields in data science.* Demonstrates how to manage a large complex dataset into manageable datasets ready for analysis.* Features very large contemporary datasets such as time series, interval-valued data and histogram-valued data* Considers classification models such as dynamical clustering, an extension of K-means, hierarchical pyramidal and Kohonen methodology in detail.* Includes principal components and correspondence analysis methodology.* Features a supporting website hosting relevant software.* Edwin Diday is the founding father of Symbolic Data Analysis.* Extends and expands on the material in Symbolic Data Analysis: Conceptual Statistics and Data Mining, Billard and Diday (2006) Classification Methodology for Symbolic Datais aimed at the practitioners of symbolic data analysis: statisticians and economists within the public (e.g. national statistics institutes) and private (e.g. banks, insurance companies, companies managing databases) sectors. It will also be of interest to postgraduate students of, and researchers within, web mining, text mining and bio-engineering. Full Product DetailsAuthor: Lynne Billard , Edwin DidayPublisher: John Wiley and Sons Ltd Imprint: Wiley-Blackwell (an imprint of John Wiley & Sons Ltd) ISBN: 9780470713938ISBN 10: 0470713933 Pages: 288 Publication Date: 04 May 2012 Audience: Professional and scholarly , Professional & Vocational Format: Undefined Publisher's Status: Unknown Availability: Not yet available  This item is yet to be released. You can pre-order this item and we will dispatch it to you upon it's release. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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