Statistical data mining knowledge (36 resultados)

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Paperback. Condición: As New. Softcover. Good binding and cover. Minor shelf wear. Clean, unmarked pages.

Condición: New.

Hardcover. Condición: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

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Condición: very_good. Gently read. May have name of previous ownership, or ex-library edition. Binding tight; spine straight and smooth, with no creasing; covers clean and crisp. Minimal signs of handling or shelving. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships USPS Media Mail.…

Condición: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.…

Condición: New. Solutions Manual to accompany Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery A comprehensive introduction to statistical methods for data mining and knowledge discovery. Num Pages: 232 pages. BIC Classification: UNC; UNF. Category: (P) Professional & Vocational. Dimension: 244 x 170 x 0. . . 2015. 1st Edition. Paperback. . . . . …

Condición: New.

Condición: New. In English.

Paperback / softback. Condición: New. New copy - Usually dispatched within 4 working days.

Condición: Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Clean from markings. In fair condition, suitable as a study copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1050grams, ISBN:9781584883449.…

Condición: Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Clean from markings. In fair condition, suitable as a study copy. No dust jacket. Library sticker on front cover. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1050grams, ISBN:9781584883449.…

Condición: New. Solutions Manual to accompany Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery A comprehensive introduction to statistical methods for data mining and knowledge discovery. Num Pages: 232 pages. BIC Classification: UNC; UNF. Category: (P) Professional & Vocational. Dimension: 244 x 170 x 0. . . 2015. 1st Edition. Paperback. . . . . Books ship from the US and Ireland. …

Paperback. Condición: Brand New. sol edition. 200 pages. 10.00x7.00x0.50 inches. In Stock.

Hardcover. Condición: Gut. Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ancien Exemplaire de bibliothèque avec signature et cachet. BON état, quelques traces d'usure. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. 62 BOZ 9781584883449 Sprache: Englisch Gewicht in Gramm: 1150.…

Condición: As New. Unread book in perfect condition.

hardcover. Condición: Good. . Satisfaction 100% guaranteed.

Condición: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.…

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: new.

Condición: New.

Condición: As New. Unread book in perfect condition.

Taschenbuch. Condición: Neu. Predicting Who Will Graduate | Mining Institutional Data Using Knowledge Discovery and Statistical Techniques | John Campbell | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639140231 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

Taschenbuch. Condición: Sehr gut. 217 Seiten; Der Artikel ist in einem sehr guten Zustand und wurde nach den Trendbee-QualitÃ?tssicherungsstandards umfassend geprà 1/4 ft. EBE-0027-10-04-2021 Sprache: Englisch Gewicht in Gramm: 358.

Hardcover. Condición: Brand New. har/psc edition. 470 pages. 10.00x7.00x1.00 inches. In Stock.

Hardback. Condición: New. New copy - Usually dispatched within 4 working days.

Condición: New. In English.

Buch. Condición: Neu. Neuware - A comprehensive introduction to statistical methods for data mining and knowledge discovery.Applications of data mining and 'big data' increasingly take center stage in our modern, knowledge-driven society, supported by advances in computing power, automated data acquisition, social media development and interactive, linkable internet software. This book presents a coherent, technical introduction to modern statistical learning and analytics, starting from the core foundations of statistics and probability. It includes an overview of probability and statistical distributions, basics of data manipulation and visualization, and the central components of standard statistical inferences. The majority of the text extends beyond these introductory topics, however, to supervised learning in linear regression, generalized linear models, and classification analytics. Finally, unsupervised learning via dimension reduction, cluster analysis, and market basket analysis are introduced.Extensive examples using actual data (with sample R programming code) are provided, illustrating diverse informatic sources in genomics, biomedicine, ecological remote sensing, astronomy, socioeconomics, marketing, advertising and finance, among many others.Statistical Data Analytics:\* Focuses on methods critically used in data mining and statistical informatics. Coherently describes the methods at an introductory level, with extensions to selected intermediate and advanced techniques.\* Provides informative, technical details for the highlighted methods.\* Employs the open-source R language as the computational vehicle - along with its burgeoning collection of online packages - to illustrate many of the analyses contained in the book.\* Concludes each chapter with a range of interesting and challenging homework exercises using actual data from a variety of informatic application areas.This book will appeal as a classroom or training text to intermediate and advanced undergraduates, and to beginning graduate students, with sufficient background in calculus and matrix algebra. It will also serve as a source-book on the foundations of statistical informatics and data analytics to practitioners who regularly apply statistical learning to their modern data.…