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Mathematics of Big Data: Spreadsheets, Databases, Matrices, and Graphs by Jeremy
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Located in: Fairfield, Ohio, United States
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eBay item number:386799206850
Item specifics
- Condition
- ISBN-13
- 9780262038393
- Book Title
- Mathematics of Big Data
- ISBN
- 9780262038393
- Publication Name
- Mathematics of Big Data : Spreadsheets, Databases, Matrices, and Graphs
- Item Length
- 9.4in
- Publisher
- MIT Press
- Publication Year
- 2018
- Series
- Mit Lincoln Laboratory Ser.
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Item Height
- 1.2in
- Item Width
- 7.3in
- Item Weight
- 35.3 Oz
- Number of Pages
- 448 Pages
About this product
Product Information
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.
Product Identifiers
Publisher
MIT Press
ISBN-10
0262038390
ISBN-13
9780262038393
eBay Product ID (ePID)
243128698
Product Key Features
Publication Name
Mathematics of Big Data : Spreadsheets, Databases, Matrices, and Graphs
Format
Hardcover
Language
English
Publication Year
2018
Series
Mit Lincoln Laboratory Ser.
Type
Textbook
Number of Pages
448 Pages
Dimensions
Item Length
9.4in
Item Height
1.2in
Item Width
7.3in
Item Weight
35.3 Oz
Additional Product Features
Lc Classification Number
Qa76.9.B45k47 2018
Copyright Date
2018
Topic
Computer Science, General, Databases / Data Mining
Lccn
2017-057054
Intended Audience
Trade
Illustrated
Yes
Genre
Computers, Mathematics
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eBay item number:386799206850
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