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Mathematics of Big Data: Spreadsheets, Databases, Matrices, and Graphs (MIT Linc
US $16.99
Condition:
Good
A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages. See the seller’s listing for full details and description of any imperfections.
- Buy It NowMathematics of Big Data: Spreadsheets, Databases, Matrices, and Graphs (MIT Linc
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eBay item number:335844039361
Item specifics
- Condition
- Book Title
- Mathematics of Big Data: Spreadsheets, Databases, Matrices, and G
- ISBN
- 9780262038393
- Subject Area
- Mathematics, Computers
- Publication Name
- Mathematics of Big Data : Spreadsheets, Databases, Matrices, and Graphs
- Publisher
- MIT Press
- Item Length
- 9.4 in
- Subject
- Computer Science, General, Databases / Data Mining
- Publication Year
- 2018
- Series
- Mit Lincoln Laboratory Ser.
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Item Height
- 1.2 in
- Item Weight
- 35.3 Oz
- Item Width
- 7.3 in
- Number of Pages
- 448 Pages
About this product
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
Item description from the seller
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Seller feedback (39,153)
- e***v (129)- Feedback left by buyer.Past 6 monthsVerified purchaseOverall, it went well. Good communication. I wanted the book to be shipped in a box, because the value and scarcity of the volume I purchased deserved it, however, the company is too large and I was informed the book would be shipped in a plastic mailer. Somehow it didn’t arrive very damaged, a little bump, but for the price I can’t complain. Over all I am satisfied, but if you’re a book collector, as I am, you may want to find another seller.Aurora: The Dayspring, or Dawning of the Day in the East, Boehme, Jacob, 9781558 (#236039083546)
- 1***j (84)- Feedback left by buyer.Past monthVerified purchaseGreat experience. Seller responded promptly with quick shipping. The item was well packaged. The seller was great. Prices and descriptions of the merchandise were accurate.
- s***a (783)- Feedback left by buyer.Past 6 monthsVerified purchaseThis company has been, in my experience, a mixed bag. This title was NOT worth the price because it came with highlighting, ink underlineing & writing in the margins...not the quality that they advertised. I have on other occasions gotten books in great condition, however, that were listed in less than the condition advertised so it goes both ways...but I'd much prefer a company that delivers exactly what they advertise. I guess good help is hard to find. The book was well packaged & came fast.
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Popular categories from this store
Seller feedback (39,153)
- e***v (129)- Feedback left by buyer.Past 6 monthsVerified purchaseOverall, it went well. Good communication. I wanted the book to be shipped in a box, because the value and scarcity of the volume I purchased deserved it, however, the company is too large and I was informed the book would be shipped in a plastic mailer. Somehow it didn’t arrive very damaged, a little bump, but for the price I can’t complain. Over all I am satisfied, but if you’re a book collector, as I am, you may want to find another seller.Aurora: The Dayspring, or Dawning of the Day in the East, Boehme, Jacob, 9781558 (#236039083546)
- 1***j (84)- Feedback left by buyer.Past monthVerified purchaseGreat experience. Seller responded promptly with quick shipping. The item was well packaged. The seller was great. Prices and descriptions of the merchandise were accurate.
- s***a (783)- Feedback left by buyer.Past 6 monthsVerified purchaseThis company has been, in my experience, a mixed bag. This title was NOT worth the price because it came with highlighting, ink underlineing & writing in the margins...not the quality that they advertised. I have on other occasions gotten books in great condition, however, that were listed in less than the condition advertised so it goes both ways...but I'd much prefer a company that delivers exactly what they advertise. I guess good help is hard to find. The book was well packaged & came fast.