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Big Data Analytics and Knowledge Discovery, Wrembel


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Цена: 8537.00р.
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При оформлении заказа до: 2026-06-01
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Автор: Wrembel
Название:  Big Data Analytics and Knowledge Discovery
ISBN: 9783031126697
Издательство: Springer
Классификация:




ISBN-10: 3031126696
Обложка/Формат: Soft cover
Страницы: 272
Вес: 0.44 кг.
Дата издания: 09.08.2022
Серия: Lecture Notes in Computer Science
Язык: English
Издание: 1st ed. 2022
Иллюстрации: 60 illustrations, color; 19 illustrations, black and white; xiii, 272 p. 79 illus., 60 illus. in color.
Размер: 155 x 234 x 19
Читательская аудитория: Professional & vocational
Основная тема: Statistics
Подзаголовок: 24th international conference, dawak 2022, vienna, austria, august 22-24, 2022, proceedings
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This volume LNCS 13428 constitutes the papers of the 24 th International Conference on Big Data Analytics and Knowledge Discovery, held in August 2022 in Vienna, Austria. The 12 full papers presented together with 12 short papers in this volume were carefully reviewed and selected from a total of 57 submissions. The papers reflect a wide range of topics in the field of data integration, data warehousing, data analytics, and recently big data analytics, in a broad sense. The main objectives of this event are to explore, disseminate, and exchange knowledge in these fields.
Дополнительное описание: An Integration of TextGCN and Autoencoder into Aspect-based Sentiment Analysis.- OpBerg: Discovering causal sentences using optimal alignments.- Text-based Causal Inference on Irony and Sarcasm Detection.- Sarcastic RoBERTa: a RoBERTa-based deep neural ne



Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery

Автор: Walter W. Piegorsch
Название: Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery
ISBN: 111903065X ISBN-13(EAN): 9781119030652
Издательство: Wiley
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Цена: 2685.00 р.
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Описание: Solutions Manual to accompany Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery A comprehensive introduction to statistical methods for data mining and knowledge discovery.

Data Science Thinking

Автор: Cao
Название: Data Science Thinking
ISBN: 3319950916 ISBN-13(EAN): 9783319950914
Издательство: Springer
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Цена: 9146.00 р.
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Описание:

This book explores answers to the fundamental questions driving the research, innovation and practices of the latest revolution in scientific, technological and economic development: how does data science transform existing science, technology, industry, economy, profession and education? How does one remain competitive in the data science field? What is responsible for shaping the mindset and skillset of data scientists?

Data Science Thinking paints a comprehensive picture of data science as a new scientific paradigm from the scientific evolution perspective, as data science thinking from the scientific-thinking perspective, as a trans-disciplinary science from the disciplinary perspective, and as a new profession and economy from the business perspective.



Data Analytics and Management in Data Intensive Domains

Автор: Kalinichenko
Название: Data Analytics and Management in Data Intensive Domains
ISBN: 3319965522 ISBN-13(EAN): 9783319965529
Издательство: Springer
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Цена: 6097.00 р.
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Описание: This book constitutes the refereed proceedings of the 19th International Conference on Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL 2017, held in Moscow, Russia, in October 2017.The 16 revised full papers presented together with three invited papers were carefully reviewed and selected from 75 submissions.

Feature engineering for machine learning and data analytics

Название: Feature engineering for machine learning and data analytics
ISBN: 0367571854 ISBN-13(EAN): 9780367571856
Издательство: Taylor&Francis
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Цена: 6889.00 р.
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Описание: Edited by two of the leading experts in the field, this book provides a comprehensive reference book on feature engineering. The book provides a description of problems and applications for feature engineering, as well as its techniques, principles, issues, and challenges.

Proceedings of Data Analytics and Management: ICDAM 2021, Volume 2

Автор: Gupta Deepak, Polkowski Zdzislaw, Khanna Ashish
Название: Proceedings of Data Analytics and Management: ICDAM 2021, Volume 2
ISBN: 9811662843 ISBN-13(EAN): 9789811662843
Издательство: Springer
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Цена: 30491.00 р.
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Описание: This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2021), held at Jan Wyzykowski University, Poland, during June 2021. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks.

Healthcare Data Analytics

Автор: Yoon, Seong-Hoon
Название: Healthcare Data Analytics
ISBN: 036757568X ISBN-13(EAN): 9780367575687
Издательство: Taylor&Francis
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Цена: 7654.00 р.
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Описание: Supplying a comprehensive overview of healthcare analytics research, Healthcare Data Analytics provides an understanding of the analytical techniques currently available to solve healthcare problems. The book details novel techniques for acquiring, handling, retrieving, and making best use of healthcare data. It analyzes recent devel

Human Capital Systems, Analytics, and Data Mining

Автор: Hughes, Robert C.
Название: Human Capital Systems, Analytics, and Data Mining
ISBN: 0367571218 ISBN-13(EAN): 9780367571214
Издательство: Taylor&Francis
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Цена: 7348.00 р.
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Computational Business Analytics

Автор: Das, Subrata
Название: Computational Business Analytics
ISBN: 1439890706 ISBN-13(EAN): 9781439890707
Издательство: Taylor&Francis
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Цена: 22202.00 р.
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Advances in Machine Learning/Deep Learning-Based Technologies: Selected Papers in Honour of Professor Nikolaos G. Bourbakis - Vol. 2

Автор: Tsihrintzis George A., Virvou Maria, Jain Lakhmi C.
Название: Advances in Machine Learning/Deep Learning-Based Technologies: Selected Papers in Honour of Professor Nikolaos G. Bourbakis - Vol. 2
ISBN: 3030767930 ISBN-13(EAN): 9783030767938
Издательство: Springer
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Цена: 20733.00 р.
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Описание: As the 4th Industrial Revolution is restructuring human societal organization into, so-called, “Society 5.0”, the field of Machine Learning (and its sub-field of Deep Learning) and related technologies is growing continuously and rapidly, developing in both itself and towards applications in many other disciplines. Researchers worldwide aim at incorporating cognitive abilities into machines, such as learning and problem solving. When machines and software systems have been enhanced with Machine Learning/Deep Learning components, they become better and more efficient at performing specific tasks. Consequently, Machine Learning/Deep Learning stands out as a research discipline due to its worldwide pace of growth in both theoretical advances and areas of application, while achieving very high rates of success and promising major impact in science, technology and society. The book at hand aims at exposing its readers to some of the most significant Advances in Machine Learning/Deep Learning-based Technologies. The book consists of an editorial note and an additional ten (10) chapters, all invited from authors who work on the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into five parts, namely (i) Machine Learning/Deep Learning in Socializing and Entertainment, (ii) Machine Learning/Deep Learning in Education, (iii) Machine Learning/Deep Learning in Security, (iv) Machine Learning/Deep Learning in Time Series Forecasting, and (v) Machine Learning in Video Coding and Information Extraction. This research book is directed towards professors, researchers, scientists, engineers and students in Machine Learning/Deep Learning-related disciplines. It is also directed towards readers who come from other disciplines and are interested in becoming versed in some of the most recent Machine Learning/Deep Learning-based technologies. An extensive list of bibliographic references at the end of each chapter guides the readers to probe further into the application areas of interest to them.

Big Data Analytics and Knowledge Discovery

Автор: Madria
Название: Big Data Analytics and Knowledge Discovery
ISBN: 3319439456 ISBN-13(EAN): 9783319439457
Издательство: Springer
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Цена: 7074.00 р.
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Описание: The papers are organized in topical sections on Mining Big Data, Applications of Big Data Mining, Big Data Indexing and Searching, Big Data Learning and Security, Graph Databases and Data Warehousing, Data Intelligence and Technology.

Big Data Analytics and Knowledge Discovery

Автор: Ladjel Bellatreche; Sharma Chakravarthy
Название: Big Data Analytics and Knowledge Discovery
ISBN: 3319642820 ISBN-13(EAN): 9783319642826
Издательство: Springer
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Цена: 8537.00 р.
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Описание: This book constitutes the refereed proceedings of the 19th International Conference on Big Data Analytics and Knowledge Discovery, DaWaK 2017, held in Lyon, France, in August 2017. The 24 revised full papers and 11 short papers presented were carefully reviewed and selected from 97 submissions.

Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXII

Автор: Abdelkader Hameurlain; Josef K?ng; Roland Wagner;
Название: Transactions on Large-Scale Data- and Knowledge-Centered Systems XXXII
ISBN: 3662556073 ISBN-13(EAN): 9783662556078
Издательство: Springer
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Цена: 9146.00 р.
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Описание:

Exact Detection of Information Leakage: Decidability and Complexity.- Binary Shapelet Transform for Multiclass Time Series Classification.- DAAR: A Discrimination-Aware Association Rule Classifier for Decision Support.- New Word Detection and Tagging on Chinese Twitter Stream.- On-Demand Snapshot Maintenance in Data Warehouses Using Incremental ETL Pipeline.


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