Data Science and Big Data Computing : (Record no. 7049)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01627 a2200205 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250926124828.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 241204b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9783319318592 |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005.7 |
| Item number | MahD |
| 245 ## - TITLE STATEMENT | |
| Title | Data Science and Big Data Computing : |
| Remainder of title | Frameworks and Methodologies / |
| Statement of responsibility, etc | edited by Zaigham Mahmood |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Switzerland: |
| Name of publisher | Springer; |
| Year of publication | ©2016 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xxi, 319p. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | This illuminating text/reference surveys the state of the art in data science, and provides practical guidance on big data analytics. Expert perspectives are provided by authoritative researchers and practitioners from around the world, discussing research developments and emerging trends, presenting case studies on helpful frameworks and innovative methodologies, and suggesting best practices for efficient and effective data analytics. Features: reviews a framework for fast data applications, a technique for complex event processing, and agglomerative approaches for the partitioning of networks; introduces a unified approach to data modeling and management, and a distributed computing perspective on interfacing physical and cyber worlds; presents techniques for machine learning for big data, and identifying duplicate records in data repositories; examines enabling technologies and tools for data mining; proposes frameworks for data extraction, and adaptive decision making and social media analysis. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Computer Science |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Data Mining and Predictive Analytics |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Big Data Modeling and Management |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Mahmood, Zaigham [Ed.] |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Books |
| Withdrawn status | Lost status | Damaged status | Collection code | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Purchase Price | Bill number | Full call number | Accession Number | Copy number | Print Price | Bill Date/Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Computer Science | Indian Institute of Technology Tirupati | Indian Institute of Technology Tirupati | General Stacks | 30/09/2025 | Today and Tomorrows Printers and Publishers | 9171.18 | TTPP/133/2025-26 | 005.7 MahD (11541) | 11541 | Copy 1 | 13101.69 | 30/09/2025 | Books |