Frontiers in Data Science Frontiers in Data Science
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وصف الناشر

Frontiers in Data Science deals with philosophical and practical results in Data Science. A broad definition of Data Science describes the process of analyzing data to transform data into insights. This also involves asking philosophical, legal and social questions in the context of data generation and analysis. In fact, Big Data also belongs to this universe as it comprises data gathering, data fusion and analysis when it comes to manage big data sets. A major goal of this book is to understand data science as a new scientific discipline rather than the practical aspects of data analysis alone.

النوع
تمويل شركات وأفراد
تاريخ النشر
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١٦ أكتوبر
اللغة
EN
الإنجليزية
عدد الصفحات
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الناشر
CRC Press
البائع
Taylor & Francis Group
الحجم
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‫م.ب.‬
Big, Open and Linked Data Big, Open and Linked Data
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Data Science and Social Research II Data Science and Social Research II
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Open and Big Data Management and Innovation Open and Big Data Management and Innovation
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Electronic Government Electronic Government
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Digital Transformation and Global Society Digital Transformation and Global Society
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Big Data for Insurance Companies Big Data for Insurance Companies
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Quantitative Graph Theory Quantitative Graph Theory
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Elements of Data Science, Machine Learning, and Artificial Intelligence Using R Elements of Data Science, Machine Learning, and Artificial Intelligence Using R
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Modern and Interdisciplinary Problems in Network Science Modern and Interdisciplinary Problems in Network Science
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Entrepreneurial Complexity Entrepreneurial Complexity
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Big Data of Complex Networks Big Data of Complex Networks
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Graph Polynomials Graph Polynomials
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Data Driven Approaches for Healthcare Data Driven Approaches for Healthcare
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Big Data Systems Big Data Systems
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Smart Data Smart Data
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Big Data in Complex and Social Networks Big Data in Complex and Social Networks
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Big Data Analytics Big Data Analytics
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Big Data Computing Big Data Computing
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