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Titlebook: Applications of Data Management and Analysis; Case Studies in Soci Mohammad Moshirpour,Behrouz H. Far,Reda Alhajj Book 2018 Springer Nature

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發(fā)表于 2025-3-21 17:40:09 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Applications of Data Management and Analysis
期刊簡稱Case Studies in Soci
影響因子2023Mohammad Moshirpour,Behrouz H. Far,Reda Alhajj
視頻videohttp://file.papertrans.cn/160/159358/159358.mp4
發(fā)行地址Features state-of-the-art techniques for data management and analysis using current algorithms, models, and architecture.Contains case studies describing how data analysis can improve the insurance, b
學科分類Lecture Notes in Social Networks
圖書封面Titlebook: Applications of Data Management and Analysis; Case Studies in Soci Mohammad Moshirpour,Behrouz H. Far,Reda Alhajj Book 2018 Springer Nature
影響因子This book addresses and examines the impacts of applications and services for data management and analysis, such as infrastructure, platforms, software, and business processes, on both academia and industry. The chapters cover effective approaches in dealing with the inherent complexity and increasing demands of big data management from an applications perspective..Various case studies included have been reported by data analysis experts who work closely with their clients in such fields as education, banking, and telecommunications. Understanding how data management has been adapted to these applications will help students, instructors and professionals in the field. Application areas also include the fields of social network analysis, bioinformatics, and the oil and gas industries..
Pindex Book 2018
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Encounters in Performance Philosophyul to analyze and predict relationships between the users of a social network. Although there has been a lot of research on positive link prediction, there is still a scarcity of research on negative link prediction. We exploit this gap by predicting both positive and negative links within an online
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Performing the Impossible in Philosophyear real time. Our results demonstrate that proprietary/closed-source tools can give comparable performance to open-source sentiment analysis tools for targeted sentiment analysis with live Twitter data.
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Performing the Impossible in Philosophyministic, cumbersome, and expensive (manpower and time-consuming). Presence of a high-dimensional data space consisting of a large number of operational and geological parameters impedes practical decision-making and future performance prediction for oil and gas recovery processes. Thus, the rise of
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Encounters in Performance Philosophym by incorporating commodity hardware collaboratively to process a large volume of data. The MapReduce programming framework is one candidate framework for large-scale processing, and Hadoop is its open-source implementation. This framework consists of the Hadoop Distributed File System and the MapR
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Encounters in Performance Philosophynamic social networks are unlabeled, not identically distributed and the effect of different features of the network evolves over time with the evolution of the network links. Changes in features of nodes initiate the changes in links and groups of the network and vice versa. The correlation between
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