Data mining mobile devices / (Record no. 48741)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 01452cmm a2200265 a 4500 |
| 001 - CONTROL NUMBER | |
| control field | 46731 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | IN-BdCUP |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20230426175554.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 230426s2023 u eng |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781466555969 |
| 040 ## - CATALOGING SOURCE | |
| Language of cataloging | eng |
| Transcribing agency | IN-BdCUP |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.312 |
| Item number | M534 |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Mena, Jesus |
| Relator term | Author |
| 245 #0 - TITLE STATEMENT | |
| Title | Data mining mobile devices / |
| Statement of responsibility, etc. | Jesus Mena |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Boca Raton : |
| Name of publisher, distributor, etc. | Taylor & Francis, |
| Date of publication, distribution, etc. | 2013 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 online resource (xi, 309 pages) |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 1. Mobile sites -- 2. Mobile apps -- 3. Mobile data -- 4. Mobile mobs -- 5. Mobile analytics |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Data Mining Mobile Devices, also known as Reality Mining, defines the collection of machine-sensed environmental data pertaining to human social behavior. This new paradigm of data mining makes possible the modeling of conversation context, proximity sensing, and temporospatial location throughout large communities of individuals. Mobile phones (and similarly innocuous devices) are used for data collection, opening behavior analysis to new methods of empirical stochastic modeling. The book explains how the combination of data mining and machine learning makes this possible, and details how to integrate the various technologies |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Data mining |
| Topical term or geographic name entry element | Mobile computing |
| Topical term or geographic name entry element | Web usage mining |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | Electronic Book Resource |
| Uniform Resource Identifier | <a href="https://www.taylorfrancis.com/books/9781466555969">https://www.taylorfrancis.com/books/9781466555969</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | E-Book |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Date acquired | Source of acquisition | Total checkouts | Full call number | Barcode | Date last seen | Uniform resource identifier | Bill Date | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | Ranganathan Library | Ranganathan Library | 07/04/2022 | Taylor & Francis | 006.312 M534 | E01335 | 26/04/2023 | https://www.taylorfrancis.com/books/9781466555969 | 07/04/2022 | E-Book |