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MATHEMATIK VON BIG DATA: TABELLENKALKULATIONEN, DATENBANKEN, von Jeremy Kepner & NEU-
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eBay-Artikelnr.:226740302017
Artikelmerkmale
- Artikelzustand
- ISBN-10
- 0262038390
- Book Title
- Mathematics of Big Data: Spreadsheets, Databases, Matrices, and
- ISBN
- 9780262038393
Über dieses Produkt
Product Identifiers
Publisher
MIT Press
ISBN-10
0262038390
ISBN-13
9780262038393
eBay Product ID (ePID)
243128698
Product Key Features
Number of Pages
448 Pages
Publication Name
Mathematics of Big Data : Spreadsheets, Databases, Matrices, and Graphs
Language
English
Publication Year
2018
Subject
Computer Science, General, Databases / Data Mining
Type
Textbook
Subject Area
Mathematics, Computers
Series
Mit Lincoln Laboratory Ser.
Format
Hardcover
Dimensions
Item Height
1.2 in
Item Weight
35.3 Oz
Item Length
9.4 in
Item Width
7.3 in
Additional Product Features
Intended Audience
Trade
LCCN
2017-057054
Illustrated
Yes
Synopsis
The first book to present the common mathematical foundations of big data analysis across a range of applications and technologies. Today, the volume, velocity, and variety of data are increasing rapidly across a range of fields, including Internet search, healthcare, finance, social media, wireless devices, and cybersecurity. Indeed, these data are growing at a rate beyond our capacity to analyze them. The tools--including spreadsheets, databases, matrices, and graphs--developed to address this challenge all reflect the need to store and operate on data as whole sets rather than as individual elements. This book presents the common mathematical foundations of these data sets that apply across many applications and technologies. Associative arrays unify and simplify data, allowing readers to look past the differences among the various tools and leverage their mathematical similarities in order to solve the hardest big data challenges. The book first introduces the concept of the associative array in practical terms, presents the associative array manipulation system D4M (Dynamic Distributed Dimensional Data Model), and describes the application of associative arrays to graph analysis and machine learning. It provides a mathematically rigorous definition of associative arrays and describes the properties of associative arrays that arise from this definition. Finally, the book shows how concepts of linearity can be extended to encompass associative arrays. Mathematics of Big Data can be used as a textbook or reference by engineers, scientists, mathematicians, computer scientists, and software engineers who analyze big data., The first book to present the common mathematical foundations of big data analysis across a range of applications and technologies. Today, the volume, velocity, and variety of data are increasing rapidly across a range of fields, including Internet search, healthcare, finance, social media, wireless devices, and cybersecurity. Indeed, these data are growing at a rate beyond our capacity to analyze them. The tools-including spreadsheets, databases, matrices, and graphs-developed to address this challenge all reflect the need to store and operate on data as whole sets rather than as individual elements. This book presents the common mathematical foundations of these data sets that apply across many applications and technologies. Associative arrays unify and simplify data, allowing readers to look past the differences among the various tools and leverage their mathematical similarities in order to solve the hardest big data challenges. The book first introduces the concept of the associative array in practical terms, presents the associative array manipulation system D4M (Dynamic Distributed Dimensional Data Model), and describes the application of associative arrays to graph analysis and machine learning. It provides a mathematically rigorous definition of associative arrays and describes the properties of associative arrays that arise from this definition. Finally, the book shows how concepts of linearity can be extended to encompass associative arrays. Mathematics of Big Data can be used as a textbook or reference by engineers, scientists, mathematicians, computer scientists, and software engineers who analyze big data.
LC Classification Number
QA76.9.B45K47 2018
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- e***2 (1296)- Bewertung vom Käufer.Letzte 6 MonateBestätigter KaufMint condition and brand new, at the most competitive price. Top customer service, which includes: communication, professional packaging which protected the dust cover from bending and corners from bumping. Speedy shipping and delivery from across the country. A highly recommended seller with whom I would easily shop again. Thank you!
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- 8***g (252)- Bewertung vom Käufer.Letzte 6 MonateBestätigter KaufA smooth and professional transaction throughout. The item was exactly as described, clearly listed, and fairly priced. Communication from the seller was prompt, polite, and helpful, with dispatch confirmed quickly. The parcel was securely packaged and arrived in excellent condition, ahead of the expected delivery date. Care was taken at every stage of the process. I would be happy to buy from this seller again—many thanks for a reliable and well-handled sale.FINLAND AND EUROPE: INTERNATIONAL CRISES IN THE PERIOD OF By Juhani Paasivirta (Nr. 335694307643)
- a***2 (13)- Bewertung vom Käufer.Letzte 6 MonateBestätigter KaufItem was shipped quickly and packaged well. Item was exactly as described, brand new and it was even sealed. The seller also messaged me as soon as the purchase went through so communication was great. This was the last book in the series that I needed and to be able to find it in such great condition and at a great cost was unexpected. Highly recommend this seller and will definitely buy from again in the future.
- e***2 (1296)- Bewertung vom Käufer.Letzte 6 MonateBestätigter KaufMint condition and brand new, at the most competitive price. Top customer service, which includes: communication, professional packaging which protected the dust cover from bending and corners from bumping. Speedy shipping and delivery from across the country. A highly recommended seller with whom I would easily shop again. Thank you!