Robust Representation For Data Analytics
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Robust Representation For Data Analytics
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Author : Sheng Li
language : en
Publisher: Springer
Release Date : 2017-08-09
Robust Representation For Data Analytics written by Sheng Li and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-09 with Computers categories.
This book introduces the concepts and models of robust representation learning, and provides a set of solutions to deal with real-world data analytics tasks, such as clustering, classification, time series modeling, outlier detection, collaborative filtering, community detection, etc. Three types of robust feature representations are developed, which extend the understanding of graph, subspace, and dictionary. Leveraging the theory of low-rank and sparse modeling, the authors develop robust feature representations under various learning paradigms, including unsupervised learning, supervised learning, semi-supervised learning, multi-view learning, transfer learning, and deep learning. Robust Representations for Data Analytics covers a wide range of applications in the research fields of big data, human-centered computing, pattern recognition, digital marketing, web mining, and computer vision.
Proceedings Of International Conference On Data Analytics And Insights Icdai 2023
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Author : Nabendu Chaki
language : en
Publisher: Springer Nature
Release Date : 2023-07-24
Proceedings Of International Conference On Data Analytics And Insights Icdai 2023 written by Nabendu Chaki and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-24 with Technology & Engineering categories.
The book is a collection of peer-reviewed best selected research papers presented at the International Conference on Data Analytics and Insights (ICDAI 2023), organized by Techno International, Kolkata, India, during May 11–13, 2023. The book covers important topics like sensor and network data analytics and insights; big data analytics and insights; biological and biomedical data analysis and insights; optimization techniques, time series analysis and forecasting; power and energy systems data analytics and insights; civil and environmental data analytics and insights; and industry and applications.
Computer Vision Eccv 2018
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Author : Vittorio Ferrari
language : en
Publisher: Springer
Release Date : 2018-10-05
Computer Vision Eccv 2018 written by Vittorio Ferrari and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-05 with Computers categories.
The sixteen-volume set comprising the LNCS volumes 11205-11220 constitutes the refereed proceedings of the 15th European Conference on Computer Vision, ECCV 2018, held in Munich, Germany, in September 2018.The 776 revised papers presented were carefully reviewed and selected from 2439 submissions. The papers are organized in topical sections on learning for vision; computational photography; human analysis; human sensing; stereo and reconstruction; optimization; matching and recognition; video attention; and poster sessions.
Advances In Big Data Analytics
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Author : Yong Shi
language : en
Publisher: Springer Nature
Release Date : 2022-01-13
Advances In Big Data Analytics written by Yong Shi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-13 with Computers categories.
Today, big data affects countless aspects of our daily lives. This book provides a comprehensive and cutting-edge study on big data analytics, based on the research findings and applications developed by the author and his colleagues in related areas. It addresses the concepts of big data analytics and/or data science, multi-criteria optimization for learning, expert and rule-based data analysis, support vector machines for classification, feature selection, data stream analysis, learning analysis, sentiment analysis, link analysis, and evaluation analysis. The book also explores lessons learned in applying big data to business, engineering and healthcare. Lastly, it addresses the advanced topic of intelligence-quotient (IQ) tests for artificial intelligence. /divSince each aspect mentioned above concerns a specific domain of application, taken together, the algorithms, procedures, analysis and empirical studies presented here offer a general picture of big data developments. Accordingly, the book can not only serve as a textbook for graduates with a fundamental grasp of training in big data analytics, but can also show practitioners how to use the proposed techniques to deal with real-world big data problems.
Data Analytics In Finance
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Author : Huijian Dong
language : en
Publisher: CRC Press
Release Date : 2025-04-30
Data Analytics In Finance written by Huijian Dong and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-30 with Computers categories.
Data Analytics in Finance covers the methods and application of data analytics in all major areas of finance, including buy-side investments, sell-side investment banking, corporate finance, consumer finance, financial services, real estate, insurance, and commercial banking. It explains statistical inference of big data, financial modeling, machine learning, database querying, data engineering, data visualization, and risk analysis. Emphasizing financial data analytics practices with a solution- oriented purpose, it is a “one-stop-shop” of all the major data analytics aspects for each major finance area. The book paints a comprehensive picture of the data analytics process including: Statistical inference of big data Financial modeling Machine learning and AI Database querying Data engineering Data visualization Risk analysis Each chapter is crafted to provide complete guidance for many subject areas including investments, fraud detection, and consumption finance. Avoiding data analytics methods widely available elsewhere, the book focuses on providing data analytics methods specifically applied to key areas of finance. Written as a roadmap for researchers, practitioners, and students to master data analytics instruments in finance, the book also provides a collection of indispensable resources for the readers’ reference. Offering the knowledge and tools necessary to thrive in a data-driven financial landscape, this book enables readers to deepen their understanding of investments, develop new approaches to risk management, and apply data analytics to finance.
Creators Of Intelligence
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Author : Dr. Alex Antic
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-04-28
Creators Of Intelligence written by Dr. Alex Antic and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-28 with Computers categories.
Get your hands on the secret recipe for a rewarding career in data science from 18 AI leaders Purchase of the print or Kindle book includes a free PDF eBook Key Features Gain access to insights and expertise from data science leaders shared in one-on-one interviews Get pragmatic advice on how to become a successful data scientist and data science leader Receive guidance to overcome common pitfalls and challenges and ensure your projects’ success Book DescriptionA Gartner prediction in 2018 led to numerous articles stating that "85% of AI and machine learning projects fail to deliver.” Although it's unclear whether a mass extinction event occurred for AI implementations at the end of 2022, the question remains: how can I ensure that my project delivers value and doesn't become a statistic? The demand for data scientists has only grown since 2015, when they were dubbed the new “rock stars” of business. But how can you become a data science rock star? As a new senior data leader, how can you build and manage a productive team? And what is the path to becoming a chief data officer? Creators of Intelligence is a collection of in-depth, one-on-one interviews where Dr. Alex Antic, a recognized data science leader, explores the answers to these questions and more with some of the world's leading data science leaders and CDOs. Interviews with: Cortnie Abercrombie, Edward Santow, Kshira Saagar, Charles Martin, Petar Veličković, Kathleen Maley, Kirk Borne, Nikolaj Van Omme, Jason Tamara Widjaja, Jon Whittle, Althea Davis, Igor Halperin, Christina Stathopoulos, Angshuman Ghosh, Maria Milosavljevic, Dr. Meri Rosich, Dat Tran, and Stephane Doyen.What you will learn Find out where to start with AI ethics and how to evolve from frameworks to practice Discover tips on building and managing a data science team Receive advice for organizations seeking to build or mature a data science capability Stop beating your head against a brick wall – pick the environment that'll support your success Read stories from successful data leaders as they reflect on the successes and failures in data strategy development Understand how business areas can best work with data science teams to drive business value Who this book is for This book is for a wide range of audience, from people working in the data science industry through to data science leaders and chief data officers. This book will also cater to senior business leaders interested in learning how data and analytics are used to support decision-making in different domains and sectors. Students contemplating a career in artificial intelligence (AI) and the broader data sector will also find this book useful, along with anyone developing and delivering university-level education, including undergraduate, postgraduate, and executive programs.
Big Data Analytics For Large Scale Multimedia Search
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Author : Stefanos Vrochidis
language : en
Publisher: John Wiley & Sons
Release Date : 2019-03-18
Big Data Analytics For Large Scale Multimedia Search written by Stefanos Vrochidis and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-18 with Technology & Engineering categories.
A timely overview of cutting edge technologies for multimedia retrieval with a special emphasis on scalability The amount of multimedia data available every day is enormous and is growing at an exponential rate, creating a great need for new and more efficient approaches for large scale multimedia search. This book addresses that need, covering the area of multimedia retrieval and placing a special emphasis on scalability. It reports the recent works in large scale multimedia search, including research methods and applications, and is structured so that readers with basic knowledge can grasp the core message while still allowing experts and specialists to drill further down into the analytical sections. Big Data Analytics for Large-Scale Multimedia Search covers: representation learning, concept and event-based video search in large collections; big data multimedia mining, large scale video understanding, big multimedia data fusion, large-scale social multimedia analysis, privacy and audiovisual content, data storage and management for big multimedia, large scale multimedia search, multimedia tagging using deep learning, interactive interfaces for big multimedia and medical decision support applications using large multimodal data. Addresses the area of multimedia retrieval and pays close attention to the issue of scalability Presents problem driven techniques with solutions that are demonstrated through realistic case studies and user scenarios Includes tables, illustrations, and figures Offers a Wiley-hosted BCS that features links to open source algorithms, data sets and tools Big Data Analytics for Large-Scale Multimedia Search is an excellent book for academics, industrial researchers, and developers interested in big multimedia data search retrieval. It will also appeal to consultants in computer science problems and professionals in the multimedia industry.
Big Data Analytics For Smart Healthcare Applications
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Author : Celestine Iwendi
language : en
Publisher: Frontiers Media SA
Release Date : 2023-04-17
Big Data Analytics For Smart Healthcare Applications written by Celestine Iwendi and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-17 with Medical categories.
Advances In Iot And Security With Computational Intelligence
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Author : Anurag Mishra
language : en
Publisher: Springer Nature
Release Date : 2023-09-21
Advances In Iot And Security With Computational Intelligence written by Anurag Mishra and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-21 with Technology & Engineering categories.
The book is a collection of peer-reviewed best-selected research papers presented at the International Conference on Advances in IoT and Security with AI (ICAISA 2023), organized by Deen Dayal Upadhyaya College, University of Delhi, New Delhi, India, in collaboration with University of Canberra, Canberra, Australia, and NIT, Arunachal Pradesh, Itanagar, AP, India, during March 24–25, 2023. The book includes various applications and technologies in this specialized sector of Industry 4.0. The book is divided into two volumes. It focuses on recent advances in Internet of Things and security with its applications using artificial intelligence.
Big Data Analytics Techniques For Market Intelligence
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Author : Darwish, Dina
language : en
Publisher: IGI Global
Release Date : 2024-01-04
Big Data Analytics Techniques For Market Intelligence written by Darwish, Dina and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-04 with Computers categories.
The ever-expanding realm of Big Data poses a formidable challenge for academic scholars and professionals due to the sheer magnitude and diversity of data types, along with the continuous influx of information from various sources. Extracting valuable insights from this vast and complex dataset is crucial for organizations to uncover market intelligence and make informed decisions. However, without the proper guidance and understanding of Big Data analytics techniques and methodologies, scholars may struggle to navigate this landscape and maximize the potential benefits of their research. In response to this pressing need, Professor Dina Darwish presents Big Data Analytics Techniques for Market Intelligence, a groundbreaking book that addresses the specific challenges faced by scholars and professionals in the field. Through a comprehensive exploration of various techniques and methodologies, this book offers a solution to the hurdles encountered in extracting meaningful information from Big Data. Covering the entire lifecycle of Big Data analytics, including preprocessing, analysis, visualization, and utilization of results, the book equips readers with the knowledge and tools necessary to unlock the power of Big Data and generate valuable market intelligence. With real-world case studies and a focus on practical guidance, scholars and professionals can effectively leverage Big Data analytics to drive strategic decision-making and stay at the forefront of this rapidly evolving field.