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Information Systems Frontiers

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18-03-2018

Big Data & Analytics for Societal Impact: Recent Research and Trends

Authors: Ashish Gupta, Amit Deokar, Lakshmi Iyer, Ramesh Sharda, Dave Schrader

Published in: Information Systems Frontiers | Issue 2/2018

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Recent strides in computing capabilities, increases in data transparency and open data sources, growth in IOT (Internet of Things) and smartphone device usage are some of the drivers helping bridge the worlds of data, people and things. Increased availability of disparate and complex data requires the use of new analytics approaches. Such complex datasets or big data, defined in numerous domains, are traditionally characterized by the presence of large volume, high velocity, and high variety.. Such data may be machine-generated or human-generated, depending on application contexts. Machine-generated data can have origins in autonomous systems such as robotic facilities in manufacturing systems, sensors such as RFID tags in supply chain touchpoints like warehouses and stores, environmental/weather related sensors, streaming sources like wearables, and so forth. Human-generated data may be generated through activities like social media engagement, mobile phone usage, forums on online platforms, search/purchase activities, and so forth. …

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Title: Big Data & Analytics for Societal Impact: Recent Research and Trends
Authors: Ashish Gupta
Amit Deokar
Lakshmi Iyer
Ramesh Sharda
Dave Schrader
Publication date: 18-03-2018
Publisher: Springer US
Published in: Information Systems Frontiers / Issue 2/2018
Print ISSN: 1387-3326
Electronic ISSN: 1572-9419
DOI: https://doi.org/10.1007/s10796-018-9846-7

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