Data mining mobile devices /
By: Mena, Jesus
Material type:
BookDescription: xi, 309 p. : ill. ; 25 cm.ISBN: 9781466555952; 1466555955Subject(s): Data mining | Mobile computing | Web usage miningDDC classification: 006.3/12 Online resources: Location Map
Summary:
"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"
| Item type | Home library | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|
| REGULAR | University of Wollongong in Dubai Main Collection | 006.312 ME DA (Browse shelf) | Available | T0049246 |
Total holds: 0
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| 006.312 LE DA Data mining and business analytics with R | 006.312 LE FU Fundamentals of big data : | 006.312 LO SO Social media management : | 006.312 ME DA Data mining mobile devices / | 006.312 MI NI Mining user generated content | 006.312 MI TO Topic detection and classification in social networks : | 006.312 MO DE Modeling and mining ubiquitous social media : |
"An Auerback Book"
Includes bibliographical references and index.
"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"