Reality mining : (Record no. 73384)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 05227nam a2201249 i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 6926931 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220712204829.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 151223s2014 mau ob 001 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9780262324564 |
| -- | electronic |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| -- | hardcover : alk. paper |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| -- | hardcover : alk. paper |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| -- | electronic |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 006.3/12 |
| 100 1# - AUTHOR NAME | |
| Author | Eagle, Nathan, |
| 245 10 - TITLE STATEMENT | |
| Title | Reality mining : |
| Sub Title | using big data to engineer a better world / |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 1 PDF (208 pages). |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Big Data is made up of lots of little data: numbers entered into cell phones, addresses entered into GPS devices, visits to websites, online purchases, ATM transactions, and any other activity that leaves a digital trail. Although the abuse of Big Data -- surveillance, spying, hacking -- has made headlines, it shouldn't overshadow the abundant positive applications of Big Data. In Reality Mining, Nathan Eagle and Kate Greene cut through the hype and the headlines to explore the positive potential of Big Data, showing the ways in which the analysis of Big Data ("Reality Mining") can be used to improve human systems as varied as political polling and disease tracking, while considering user privacy.Eagle, a recognized expert in the field, and Greene, an experienced technology journalist, describe Reality Mining at five different levels: the individual, the neighborhood and organization, the city, the nation, and the world. For each level, they first offer a nontechnical explanation of data collection methods and then describe applications and systems that have been or could be built. These include a mobile app that helps smokers quit smoking; a workplace "knowledge system"; the use of GPS, Wi-Fi, and mobile phone data to manage and predict traffic flows; and the analysis of social media to track the spread of disease. Eagle and Greene argue that Big Data, used respectfully and responsibly, can help people live better, healthier, and happier lives. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| General subdivision | Statistical methods. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| General subdivision | Social aspects. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| General subdivision | Social aspects. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Greene, Kate, |
| 856 42 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6926931 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Cambridge, Massachusetts : |
| -- | MIT Press, |
| -- | [2014] |
| 264 #2 - | |
| -- | [Piscataqay, New Jersey] : |
| -- | IEEE Xplore, |
| -- | [2014] |
| 336 ## - | |
| -- | text |
| -- | rdacontent |
| 337 ## - | |
| -- | electronic |
| -- | isbdmedia |
| 338 ## - | |
| -- | online resource |
| -- | rdacarrier |
| 588 ## - | |
| -- | Description based on PDF viewed 12/23/2015. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Information science |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Information science |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer networks |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Big data. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Data mining. |
| 695 ## - | |
| -- | Accidents |
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| -- | Atmospheric modeling |
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| -- | Big data |
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| -- | Biomedical monitoring |
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| -- | Biosensors |
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| -- | Buildings |
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| -- | Business |
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| -- | Cameras |
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| -- | Cities and towns |
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| -- | Companies |
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| -- | Computers |
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| -- | Data analysis |
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| -- | Data collection |
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| -- | Data mining |
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| -- | Data models |
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| -- | Data privacy |
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| -- | Data visualization |
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| -- | Databases |
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| -- | Diseases |
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| -- | Economics |
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| -- | Educational institutions |
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| -- | Electronic mail |
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| -- | Employment |
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| -- | Fires |
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| -- | Global Positioning System |
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| -- | Government |
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| -- | Indexes |
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| -- | Insurance |
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| -- | Intelligent sensors |
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| -- | Internet |
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| -- | Market research |
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| -- | Mathematical model |
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| -- | Medical services |
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| -- | Mobile communication |
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| -- | Mobile handsets |
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| -- | Monitoring |
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| -- | Navigation |
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| -- | Organizations |
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| -- | Pervasive computing |
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| -- | Predictive models |
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| -- | Presses |
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| -- | Privacy |
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| -- | Psychology |
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| -- | Radiofrequency identification |
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| -- | Resource management |
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| -- | Roads |
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| -- | Sensors |
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| -- | Social network services |
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| -- | Sociology |
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| -- | Software |
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| -- | Standards organizations |
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| -- | Statistics |
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| -- | Tracking |
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| -- | Vectors |
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| -- | Vehicles |
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| -- | World Wide Web |
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| -- | Writing |
No items available.