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Text Mining: Classification, Clustering, and Applications (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

*- hardcover*

ISBN: 1420059475

[SR: 909544], Hardcover, [EAN: 9781420059472], Chapman and Hall/CRC, Chapman and Hall/CRC, Book, [PU: Chapman and Hall/CRC], Chapman and Hall/CRC, Focuses on statistical methods for text mining and analysis. This work examines methods to automatically cluster and classify text documents and applies these methods in a variety of areas, including adaptive information filtering, information distillation, and text search., 268156, Econometrics, 268153, Economics, 68, Business, Finance & Law, 1025612, Subjects, 266239, Books, 404260, Artificial Intelligence, 269265, Computer Science, 71, Computing & Internet, 1025612, Subjects, 266239, Books, 1035288, Data Mining, 1035284, Data Storage & Management, 269899, Databases, 71, Computing & Internet, 1025612, Subjects, 266239, Books, 269728, Database Design & Theory, 269899, Databases, 71, Computing & Internet, 1025612, Subjects, 266239, Books, 14288281, Amazon, 14288271, Online Shopping, 14288081, Digital Lifestyle, 71, Computing & Internet, 1025612, Subjects, 266239, Books, 269709, Algorithms, 269678, Programming, 71, Computing & Internet, 1025612, Subjects, 266239, Books, 278385, Probability & Statistics, 278320, Mathematics, 57, Science & Nature, 1025612, Subjects, 266239, Books, 570878, Statistics & Probability, 570874, Applied Mathematics, 564352, Mathematics, 564334, Scientific, Technical & Medical, 1025612, Subjects, 266239, Books

Amazon.co.uk |

Text Mining: Classification, Clustering, and Applications (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

*- hardcover*

ISBN: 1420059475

[SR: 909544], Hardcover, [EAN: 9781420059472], Chapman and Hall/CRC, Chapman and Hall/CRC, Book, [PU: Chapman and Hall/CRC], Chapman and Hall/CRC, Focuses on statistical methods for text mining and analysis. This work examines methods to automatically cluster and classify text documents and applies these methods in a variety of areas, including adaptive information filtering, information distillation, and text search., 268156, Econometrics, 268153, Economics, 68, Business, Finance & Law, 1025612, Subjects, 266239, Books, 404260, Artificial Intelligence, 269265, Computer Science, 71, Computing & Internet, 1025612, Subjects, 266239, Books, 1035288, Data Mining, 1035284, Data Storage & Management, 269899, Databases, 71, Computing & Internet, 1025612, Subjects, 266239, Books, 269728, Database Design & Theory, 269899, Databases, 71, Computing & Internet, 1025612, Subjects, 266239, Books, 14288281, Amazon, 14288271, Online Shopping, 14288081, Digital Lifestyle, 71, Computing & Internet, 1025612, Subjects, 266239, Books, 269709, Algorithms, 269678, Programming, 71, Computing & Internet, 1025612, Subjects, 266239, Books, 278385, Probability & Statistics, 278320, Mathematics, 57, Science & Nature, 1025612, Subjects, 266239, Books, 570878, Statistics & Probability, 570874, Applied Mathematics, 564352, Mathematics, 564334, Scientific, Technical & Medical, 1025612, Subjects, 266239, Books

Amazon.co.uk |

ISBN: 9781420059472

ID: 427098

Using formal descriptions, graphical illustrations, practical examples, and R software tools, Introduction to Multivariate Statistical Analysis in Chemometrics presents simple yet thorough explanations of the most important multivariate statistical methods for analyzing chemical data. It includes discussions of various statistical methods, such as principal component analysis, regression analysis, classification methods, and clustering. Written by a chemometrician and a statistician, the book reflects the practical approach of chemometrics and the more formally oriented one of statistics. To enable a better understanding of the statistical methods, the authors apply them to real data examples from chemistry. They also examine results of the different methods, comparing traditional approaches with their robust counterparts. In addition, the authors use the freely available R package to implement methods, encouraging readers to go through the examples and adapt the procedures to their own problems. Focusing on the practicality of the methods and the validity of the results, this book offers concise mathematical descriptions of many multivariate methods and employs graphical schemes to visualize key concepts. It effectively imparts a basic understanding of how to apply statistical methods to multivariate scientific data. Technology Technology eBook, CRC Press

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2009, ISBN: 9781420059472

ID: 695144134

Using only a short segment of matrix algebra for the description of methods, this work presents explanations of the important multivariate statistical methods used for analyzing chemical data. It demonstrates methods using the R software package, considering also robust methods, providing software tools and demo data from chemistry fields. Introduction to Multivariate Statistical Analysis in Chemometrics Bücher > Fremdsprachige Bücher > Englische Bücher gebundene Ausgabe 01.02.2009 Buch (fremdspr.), CRC Press, .200

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ISBN: 9781420059472

ID: 755597543

Using only a short segment of matrix algebra for the description of methods, this work presents explanations of the important multivariate statistical methods used for analyzing chemical data. It demonstrates methods using the R software package, considering also robust methods, providing software tools and demo data from chemistry fields. Introduction to Multivariate Statistical Analysis in Chemometrics Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher, CRC Press

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Title: | ## Introduction to Multivariate Statistical Analysis in Chemometrics |

ISBN: |

** Details of the book - Introduction to Multivariate Statistical Analysis in Chemometrics**

EAN (ISBN-13): 9781420059472

ISBN (ISBN-10): 1420059475

Hardcover

Publishing year: 2009

Publisher: CRC PR INC

321 Pages

Weight: 0,612 kg

Language: eng/Englisch

Book in our database since 28.04.2007 11:51:51

Book found last time on 28.02.2017 14:37:00

ISBN/EAN: 9781420059472

ISBN - alternate spelling:

1-4200-5947-5, 978-1-4200-5947-2

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