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Map Data Processing (22 results)
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Hardcover. Condition: Very Good. Hardcover; ex-library; in very good condition.
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Condition: New.
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Condition: As New. Unread book in perfect condition.
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Ruby Data Processing: Using Map, Reduce, and Select
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 23.58
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In English.
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Ruby Data Processing: Using Map, Reduce, and Select
Language: English
Published by Apress, Incorporated, 2018
ISBN 10: 1484234731 ISBN 13: 9781484234730
Condition: New. 1st ed. edition NO-PA16APR2015-KAP.
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Ruby Data Processing : Using Map, Reduce, and Select
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Paperback. Condition: Brand New. 98 pages. 9.00x6.00x0.50 inches. In Stock.
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Ruby Data Processing: Using Map, Reduce, and Select
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
First Edition
Condition: New. 2018. 1st ed. Paperback. . . . . .
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Ruby Data Processing : Using Map, Reduce, and Select
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Condition: New. 2018. 1st ed. Paperback. . . . . . Books ship from the US and Ireland.
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Digital Processing of Map Data in Raster Format. (= Zürcher Geographische Schriften - Band 26).
Published by Zürich, Geographisches Institut,, 1986
Sprache: Deutsch 202 Seiten. 4°. Leinen. Ehemaliges Bibliotheksexemplar mit Rückensignatur u. Stempeln in gutem Zustand!.
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![Stock image for MAP DATA PROCESSING [HARDBACK] for sale by Pórtico [Portico]](https://pictures.abebooks.com/isbn/9780122671807-uk-300.jpg)
MAP DATA PROCESSING [HARDBACK]
Language: English
Published by ACADEMIC PRESS, INC., LONDON, 1980
ISBN 10: 0122671805 ISBN 13: 9780122671807
First Edition
Tapa dura. Condition: New. 1Ş edición. FREEMAN, H. / G. G. PIERONI, EDS.: MAP DATA PROCESSING [HARDBACK] . LONDON, 1980, ix 374 p. figuras, 690 gr. Encuadernacion original. Nuevo. (D-1) 690 gr. Libro.
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Taschenbuch. Condition: Neu. Ruby Data Processing | Using Map, Reduce, and Select | Jay Godse | Taschenbuch | xv | Englisch | 2018 | Apress | EAN 9781484234730 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Paperback. Condition: Brand New. 384 pages. 9.25x6.00x0.87 inches. In Stock.
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Condition: Hervorragend. Zustand: Hervorragend | Seiten: 138 | Sprache: Englisch | Produktart: Bücher | This framework aims to get superior result of minimize overall query load time and processing time of big data and increasing the scalability, robustness and takes better CPU Usage options in user and administrator issues into considerations. It is performed simulation process in real time environment for Big Data Applications.Today the sources and services to be had in the internet are growing rapidly day by day, this massive data.traditional datasets in rows and columns like DBMS tables, XML Data files and Unstructured Data like e-mail attachments, manuals, images, PDF documents, medical records such as x-rays, ECG (Electro Cardio Gram) and MRI (Magnetic Resonance Imaging) images, forms, rich media like graphics, video and audio, contacts, forms and documents. This data is classified as "huge information" due to its sheer extent, range, velocity and veracity. It is tough to discover a answer for the massive data storage and its get admission to and visualization trouble. There's a need to increase answers to manipulate big amounts of facts on a everyday foundation and extract new understanding from them. Big data storage methods are different from conventional garage strategies.
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paperback. Condition: New. Paperback. Pub Date: 1985 Pages: 196 Publisher: Shandong Science and Technology Press sheet: 6.375.
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Large-scale map data distributed processing Chinese Computer Society Books Academic Works(Chinese Edition)
Language: Chinese
Published by Tsinghua University Press, 2015
ISBN 10: 7302420726 ISBN 13: 9787302420729
paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2015-12-01 Publisher: Tsinghua University Press Along with the social network. represented by the size of map data growth. complex query requirements continue to emerge. such large-scale data processing There are many theoretical problems to be solved. Book combines many years of accumulated research. introduced a large image data into distributed processing foundation. organization and message management techniques. as well as the triangle. ** k-edge-con.
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Ruby Data Processing: Using Map, Reduce, and Select
Language: English
Published by Apress, Incorporated, 2018
ISBN 10: 1484234731 ISBN 13: 9781484234730
Condition: New. Print on Demand.
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Ruby Data Processing: Using Map, Reduce, and Select
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
£ 28.28
£ 12.96 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
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Ruby Data Processing: Using Map, Reduce, and Select
Language: English
Published by Apress, Incorporated, 2018
ISBN 10: 1484234731 ISBN 13: 9781484234730
Condition: New. PRINT ON DEMAND.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Gain the basics of Ruby's map, reduce, and select functions and discover how to use them to solve data-processing problems. This compact hands-on book explains how you can encode certain complex programs in 10 lines of Ruby code, an astonishingly small number. You will walk through problems and solutions which are effective because they use map, reduce, and select. As you read Ruby Data Processing, type in the code, run the code, and ponder the results. Tweak the code to test the code and see how the results change.After reading this book, you will have a deeper understanding of how to break data-processing problems into processing stages, each of which is understandable, debuggable, and composable, and how to combine the stages to solve your data-processing problem. As a result, your Ruby coding will become more efficient and your programs will be more elegant and robust.What You Will LearnDiscover Ruby data processing and how to do it using the map, reduce, and select functionsDevelop complex solutions including debugging, randomizing, sorting, grouping, and moreReverse engineer complex data-processing solutionsWho This Book Is ForThose who have at least some prior experience programming in Ruby and who have a background and interest in data analysis and processing using Ruby.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - High Quality Content by WIKIPEDIA articles! Vector quantization is a classical quantization technique from signal processing which allows the modeling of probability density functions by the distribution of prototype vectors. It was originally used for data compression. It works by dividing a large set of points (vectors) into groups having approximately the same number of points closest to them. Each group is represented by its centroid point, as in k-means and some other clustering algorithms. The density matching property of vector quantization is powerful, especially for identifying the density of large and high-dimensioned data. Since data points are represented by the index of their closest centroid, commonly occurring data have low error, and rare data high error. This is why VQ is suitable for lossy data compression. It can also be used for lossy data correction and density estimation. Vector quantization is based on the competitive learning paradigm, so it is closely related to the self-organizing map model.
