Mathematics of big data: (Record no. 4281)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 02185nam a22001937a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20221216162747.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 221216b ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780262038393 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005.7 |
| Item number | KEP |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Kepner, Jeremy |
| 245 ## - TITLE STATEMENT | |
| Title | Mathematics of big data: |
| Remainder of title | spreadsheets, databases, matrices, and graphs |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher, distributor, etc. | MIT press |
| Place of publication, distribution, etc. | Cambridge |
| Date of publication, distribution, etc. | 2018 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xxi, 418 p. |
| 365 ## - TRADE PRICE | |
| Price type code | USD |
| Price amount | 80.00 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | The first book to present the common mathematical foundations of big data analysis across a range of applications and technologies.<br/><br/>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.<br/><br/>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. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Big data |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Jananthan, Hayden |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Book |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Bill No | Bill Date | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Full call number | Accession Number | Date last seen | Copy number | Cost, replacement price | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | IT & Decisions Sciences | IB/IN/779 | 24-11-2022 | Indian Institute of Management LRC | Indian Institute of Management LRC | General Stacks | 12/16/2022 | International Book Centre | 4350.02 | 005.7 KEP | 004060 | 12/16/2022 | 1 | 6616.00 | 12/16/2022 | Book |