Big data analytics: systems, algorithms, applications (Record no. 2642)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01551nam a22002177a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220715132937.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 220715b ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9789811500961 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005.7 |
| Item number | PRA |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Prabhu, C. S. R. |
| 245 ## - TITLE STATEMENT | |
| Title | Big data analytics: systems, algorithms, applications |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher, distributor, etc. | Springer |
| Place of publication, distribution, etc. | Switzerland |
| Date of publication, distribution, etc. | 2019 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xxvi, 412 p. |
| 365 ## - TRADE PRICE | |
| Price type code | EURO |
| Price amount | 64.99 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | This book provides a comprehensive survey of techniques, technologies and applications of Big Data and its analysis. The Big Data phenomenon is increasingly impacting all sectors of business and industry, producing an emerging new information ecosystem. On the applications front, the book offers detailed descriptions of various application areas for Big Data Analytics in the important domains of Social Semantic Web Mining, Banking and Financial Services, Capital Markets, Insurance, Advertisement, Recommendation Systems, Bio-Informatics, the IoT and Fog Computing, before delving into issues of security and privacy. With regard to machine learning techniques, the book presents all the standard algorithms for learning - including supervised, semi-supervised and unsupervised techniques such as clustering and reinforcement learning techniques to perform collective Deep Learning. Multi-layered and nonlinear learning for Big Data are also covered. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Big data |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Data mining |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Chivukula, Aneesh Sreevallabh |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Mogadala, Aditya |
| 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 | 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 | Bill No | Bill Date |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | IT & Decisions Sciences | Indian Institute of Management LRC | Indian Institute of Management LRC | General Stacks | 07/15/2022 | Technical Bureau India Pvt. Ltd. | 3674.86 | 005.7 PRA | 002768 | 07/15/2022 | 1 | 5589.14 | 07/15/2022 | Book | TB842 | 30-06-2022 |