Advances In Data Science And Management

Advances in Data Science and Management
Publisher Springer Nature
Release Date
Category Technology & Engineering
Total Pages 563
ISBN 9789811509780
Rating 4/5 from 21 reviews
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This book includes high-quality papers presented at the International Conference on Data Science and Management (ICDSM 2019), organised by the Gandhi Institute for Education and Technology, Bhubaneswar, from 22 to 23 February 2019. It features research in which data science is used to facilitate the decision-making process in various application areas, and also covers a wide range of learning methods and their applications in a number of learning problems. The empirical studies, theoretical analyses and comparisons to psychological phenomena described contribute to the development of products to meet market demands.

Advances in Data Science and Management
  • Author : Samarjeet Borah,Valentina Emilia Balas,Zdzislaw Polkowski
  • Publisher : Springer Nature
  • Release Date : 2020-01-13

This book includes high-quality papers presented at the International Conference on Data Science and Management (ICDSM 2019), organised by the Gandhi Institute for Education and Technology, Bhubaneswar, from 22 to 23 February 2019. It features research in which data science is used to facilitate the decision-making process in various application areas, and also covers

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Advances in Data Science
  • Author : Edwin Diday,Rong Guan,Gilbert Saporta,Huiwen Wang
  • Publisher : John Wiley & Sons
  • Release Date : 2020-02-05

Data science unifies statistics, data analysis and machine learning to achieve a better understanding of the masses of data which are produced today, and to improve prediction. Special kinds of data (symbolic, network, complex, compositional) are increasingly frequent in data science. These data require specific methodologies, but there is a

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Analytics and Data Science
  • Author : Amit V. Deokar,Ashish Gupta,Lakshmi S. Iyer,Mary C. Jones
  • Publisher : Springer
  • Release Date : 2017-10-05

This book explores emerging research and pedagogy in analytics and data science that have become core to many businesses as they work to derive value from data. The chapters examine the role of analytics and data science to create, spread, develop and utilize analytics applications for practice. Selected chapters provide

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Recent Advances in Data Science
  • Author : Henry Han,Tie Wei,Wenbin Liu,Fei Han
  • Publisher : Springer
  • Release Date : 2020-09-29

This book constitutes selected papers of the ​Third International Conference on Data Science, Medicine and Bioinformatics, IDMB 2019, held in Nanning, China, in June 2019. The 19 full papers and 1 short paper were carefully reviewed and selected from 93 submissions. The papers are organized according to the following topical sections: business data science: fintech,

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Applied Big Data Analytics in Operations Management
  • Author : Kumar, Manish
  • Publisher : IGI Global
  • Release Date : 2016-09-30

Operations management is a tool by which companies can effectively meet customers’ needs using the least amount of resources necessary. With the emergence of sensors and smart metering, big data is becoming an intrinsic part of modern operations management. Applied Big Data Analytics in Operations Management enumerates the challenges and

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Big Data Analytics for Intelligent Healthcare Management
  • Author : Nilanjan Dey,Himansu Das,Bighnaraj Naik,H S Behera
  • Publisher : Academic Press
  • Release Date : 2019-04-15

Big Data Analytics for Intelligent Healthcare Management covers both the theory and application of hardware platforms and architectures, the development of software methods, techniques and tools, applications and governance, and adoption strategies for the use of big data in healthcare and clinical research. The book provides the latest research findings

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Advances in Data Science
  • Author : Anonim
  • Publisher : Unknown
  • Release Date : 2021

Big data and data science are transforming our world today in ways we could not have imagined at the beginning of the twenty-first century. The accompanying wave of innovation has sparked advances in healthcare, engineering, business, science, and human perception, among others. The tremendous advances in computing power and intelligent

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Data Science Applied to Sustainability Analysis
  • Author : Jennifer Dunn,Prasanna Balaprakash
  • Publisher : Elsevier
  • Release Date : 2021-05-28

Data Science Applied to Sustainability Analysis focuses on the methodological considerations associated with applying this tool in analysis techniques such as lifecycle assessment and materials flow analysis. As sustainability analysts need examples of applications of big data techniques that are defensible and practical in sustainability analyses and that yield actionable

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New Advances in Statistics and Data Science
  • Author : Ding-Geng Chen,Zhezhen Jin,Gang Li,Yi Li,Aiyi Liu,Yichuan Zhao
  • Publisher : Springer
  • Release Date : 2018-01-17

This book is comprised of the presentations delivered at the 25th ICSA Applied Statistics Symposium held at the Hyatt Regency Atlanta, on June 12-15, 2016. This symposium attracted more than 700 statisticians and data scientists working in academia, government, and industry from all over the world. The theme of this conference was

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Healthcare Data Analytics and Management
  • Author : Nilanjan Dey,Amira S. Ashour,Simon James Fong,Chintan Bhatt
  • Publisher : Academic Press
  • Release Date : 2018-11-15

Healthcare Data Analytics and Management help readers disseminate cutting-edge research that delivers insights into the analytic tools, opportunities, novel strategies, techniques and challenges for handling big data, data analytics and management in healthcare. As the rapidly expanding and heterogeneous nature of healthcare data poses challenges for big data analytics, this

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Data Science Advancements in Pandemic and Outbreak Management
  • Author : Asimakopoulou, Eleana,Bessis, Nik
  • Publisher : IGI Global
  • Release Date : 2021-04-09

Pandemics are disruptive. Thus, there is a need to prepare and plan actions in advance for identifying, assessing, and responding to such events to manage uncertainty and support sustainable livelihood and wellbeing. A detailed assessment of a continuously evolving situation needs to take place, and several aspects must be brought

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Soft Methods for Data Science
  • Author : Maria Brigida Ferraro,Paolo Giordani,Barbara Vantaggi,Marek Gagolewski,María Ángeles Gil,Przemysław Grzegorzewski,Olgierd Hryniewicz
  • Publisher : Springer
  • Release Date : 2016-08-30

This proceedings volume is a collection of peer reviewed papers presented at the 8th International Conference on Soft Methods in Probability and Statistics (SMPS 2016) held in Rome (Italy). The book is dedicated to Data science which aims at developing automated methods to analyze massive amounts of data and to extract

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Advances in Data Science
  • Author : Leman Akoglu,Emilio Ferrara,Mallayya Deivamani,Ricardo Baeza-Yates,Palanisamy Yogesh
  • Publisher : Springer
  • Release Date : 2018-11-28

This book constitutes the thoroughly refereed post-conference proceedings of the Third International Conference on Advances in Data Science, ICIIT 2018, held in Chennai, India, in December 2018. The 11 full papers along with 4 short papers presented were carefully reviewed and selected from 74 submissions.The papers are organized in topical sections on data science

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Advances in Machine Learning and Data Science
  • Author : Damodar Reddy Edla,Pawan Lingras,Venkatanareshbabu K.
  • Publisher : Springer
  • Release Date : 2018-05-16

The Volume of “Advances in Machine Learning and Data Science - Recent Achievements and Research Directives” constitutes the proceedings of First International Conference on Latest Advances in Machine Learning and Data Science (LAMDA 2017). The 37 regular papers presented in this volume were carefully reviewed and selected from 123 submissions. These days we

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Data Science for Business
  • Author : Foster Provost,Tom Fawcett
  • Publisher : "O'Reilly Media, Inc."
  • Release Date : 2013-07-27

Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many

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