Titlebook: Knowledge Computing and Its Applications; Knowledge Manipulati S. Margret Anouncia,Uffe Kock Wiil Book 2018 Springer Nature Singapore Pte L

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APO

978-981-13-3890-8Springer Nature Singapore Pte Ltd. 2018

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Implementation of Connected Dominating Set in Fog Computing Using Knowledge-Upgraded IoT Devicesabled with such knowledge is connected together to form a Connected Dominating Set (CDS). The data routed through only such IoT devices will be directly connected to the cloud. The CDS-based approach reduces the search for a minimum group of IoT devices called nodes, thus forming the backbone networ

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Developing Security Intelligence in Big Data company. It was when it was founded, and it is today. And it’s what people do with that information that amazes and inspires me every day.” There are many challenges in the analysis of large volumes of data, including data capture and storage, data analysis, curation, searching, sharing and transfe

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Methods to Investigate Concept Drift in Big Data Streamsc data. But now categorical/textual data streams have also gained researchers’ interest due to the high availability of data in textual format on the Internet. Applying classification for managing data streams is an unrealistic approach as not every incoming data has a class label. So, in such a cas

漫不经心

Semantic Interpretation of Tweets: A Contextual Knowledge-Based Approach for Tweet Analysising performance. With the objective of equipping the machine with the contextual knowledge to facilitate semantic interpretation, we tap the Web resources, process them and structure them as Contextual Knowledge Structures (CKS). We then leverage the CKS to . a semantic interpretation of tweets. We

Lasting

Workload Assessment for a Sustainable Manufacturing Paradigm Using Social Network Analysis Methodsed method is being proposed to identify the key machines that should not be disturbed due to its contribution toward achieving the best system’s performance. Moreover, an illustrative example along with three different configurations will be presented to demonstrate the feasibility of the proposed

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Prologue

Knowledge Computational Intelligence in Network Intrusion Detection Systemsating hacker terrorization which can restrict remote logons to specific IP addresses and can utilize within a virtual private network technology (VPN). Many intrusion detection methodologies are proposed so far to resolve such issues but the main problem was performance of network and accuracy in de

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