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Titlebook: Big Data Analytics; 4th International Co Naveen Kumar,Vasudha Bhatnagar Conference proceedings 2015 Springer International Publishing Switz

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發(fā)表于 2025-3-27 00:19:12 | 只看該作者
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Conference proceedings 2015dia, in December 2015. ..The 9 revised full papers and 9invited papers were carefully reviewed and selected from 61 submissions andcover topics on big data: security and privacy; big data in commerce; big data:models and algorithms; and big data in medicine..
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發(fā)表于 2025-3-27 10:57:07 | 只看該作者
Privacy Protection or Data Value: Can We Have Both?of data exploitation will not be sustainable either due to customer dissatisfaction or government intervention to ensure private information is treated with the same level of protection that we currently find in paper-based systems. Legal, technical, and moral boundaries need to be placed on how per
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發(fā)表于 2025-3-27 16:11:48 | 只看該作者
Open Source Social Media Analytics for Intelligence and Security Informatics Applicationsedia intelligence is a sub-field within OSINT with a focus on extracting insights from publicly available data in Web 2.0 platforms like Twitter (micro-blogging website), YouTube (video-sharing website) and Facebook (social-networking website). In this paper, we present an overview of Intelligence a
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Utility-Based Control Flow Discovery from Business Process Event Logsrted business processes. Fuzzy-Miner (FM) is a popular algorithm within Process Mining which consists of discovering a process model from the event-logs. In traditional FM algorithm, the extracted process model consists of nodes and edges of equal value (in terms of the economic utility and objectiv
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發(fā)表于 2025-3-28 13:35:54 | 只看該作者
Design of Algorithms for Big Data Analyticsr asynchronous and simultaneous processing of smaller chunks of large datasets. The Map-Reduce paradigm provides a very effective mechanism for designing efficient algorithms for processing high volume datasets. Sometimes a simple adaptation of a sequential solution of a problem to design Map-Reduce
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