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This open access book presents the foundations of the Big Data research and innovation ecosystem and the associated enablers that facilitate delivering value from data for business and society. It provides insights into the key elements for research and innovation, technical architectures,...
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Chapter 1: Big Data in Finance: An Overview -- SECTION I: BIG DATA IN THE FINANCIAL MARKETS -- Chapter 2: Alternative Data -- Chapter 3: An Algorithmic Trading Strategy to Balance Profitability and Risk -- Chapter 4: High-Frequency Trading and Market Efficiency in the Moroccan Stock Market --...
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1 Introduction -- 2 Individual Entrepreneurs’ Alertness Makes Digital Economy Grow -- 3 Predicting Entrepreneurial Performance through the Lens of Entrepreneurial Orientation and Digital Adoption: A Machine Learning Approach -- 4 Social Media Analytics for Digital Entrepreneurs -- 5 Digital...
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Technologies for big data / Kapil Bakshi -- Applying the K-means algorithm in big raw data sets with Hadoop and MapReduce / Ilias K. Savvas, Georgia N. Sofianidou, M-Tahar Kechadi -- Synchronizing execution of big data in distributed and parallelized environments / Gueyoung Jung, Tridib...
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"Survival analysis uses statistics to calculate time to failure. Survival Analysis with Python takes a fresh look at this complex subject by explaining how to use the Python programming language to perform this type of analysis. As the subject itself is very mathematical and full of expressions...
Persistent link: https://www.econbiz.de/10012668270