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Data-Driven Process Discovery and Analysis, Paolo Ceravolo; Maurice van Keulen; Kilian Stoffel


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Автор: Paolo Ceravolo; Maurice van Keulen; Kilian Stoffel
Название:  Data-Driven Process Discovery and Analysis
ISBN: 9783030116378
Издательство: Springer
Классификация:




ISBN-10: 3030116379
Обложка/Формат: Soft cover
Страницы: 129
Вес: 0.23 кг.
Дата издания: 2019
Серия: Lecture Notes in Business Information Processing
Язык: English
Издание: 1st ed. 2019
Иллюстрации: 20 illustrations, color; 50 illustrations, black and white; ix, 129 p. 70 illus., 20 illus. in color.
Размер: 234 x 156 x 8
Читательская аудитория: Professional & vocational
Основная тема: Computer Science
Подзаголовок: 7th IFIP WG 2.6 International Symposium, SIMPDA 2017, Neuchatel, Switzerland, December 6-8, 2017, Revised Selected Papers
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book constitutes the revised selected papers from the 7th IFIP WG 2.6 International Symposium on Data-Driven Process Discovery and Analysis, SIMPDA 2017, held in Neuchatel, Switzerland, in December 2017. The 6 papers presented in this volume were carefully reviewed and selected from 19 submissions. They cover theoretical issues related to process representation, discovery, and analysis or provide practical and operational examples of their application.
Дополнительное описание: Online Detection of Operator Errors In Cloud Computing Using Anti-Patterns.- Executing Lifecycle Processes in Object-aware Process Management.- Towards semantic process mining through knowledge-based trace abstraction.- Mining Local Process Models and the



Data-Driven Process Discovery and Analysis

Автор: Paolo Ceravolo; Stefanie Rinderle-Ma
Название: Data-Driven Process Discovery and Analysis
ISBN: 3319534343 ISBN-13(EAN): 9783319534343
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the revised selected papers from the 5th IFIP WG 2.6 International Symposium on Data-Driven Process Discovery and Analysis, SIMPDA 2015, held in Vienna, Austria in December 2015.

Data-Driven Process Discovery and Analysis

Автор: Paolo Ceravolo; Rafael Accorsi; Philippe Cudre-Mau
Название: Data-Driven Process Discovery and Analysis
ISBN: 3662464357 ISBN-13(EAN): 9783662464359
Издательство: Springer
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Цена: 7267.00 р.
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Описание: This book constitutes the thoroughly refereed proceedings of the Third International Symposium on Data-Driven Process Discovery and Analysis held in Riva del Garda, Italy, in August 2013.The six revised full papers were carefully selected from 18 submissions.

Data-Driven Process Discovery and Analysis

Автор: Paolo Ceravolo; Barbara Russo; Rafael Accorsi
Название: Data-Driven Process Discovery and Analysis
ISBN: 331927242X ISBN-13(EAN): 9783319272429
Издательство: Springer
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Цена: 7267.00 р.
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Описание: This book constitutes the thoroughlyrefereed proceedings of the Fourth InternationalSymposium on Data-Driven Process Discovery and Analysis held in Riva del Milan,Italy, in November 2014.The five revised full papers were carefully selected from21 submissions.

Data-Driven Process Discovery and Analysis

Автор: Philippe Cudr?-Mauroux; Paolo Ceravolo; Dragan Ga?
Название: Data-Driven Process Discovery and Analysis
ISBN: 3642409180 ISBN-13(EAN): 9783642409189
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the thoroughly refereed proceedings of the Second International Symposium on Data-Driven Process Discovery and Analysis held in Campione d`Italia, Italy, in June 2012.The six revised full papers were carefully selected from 17 submissions.

Data-Driven Process Discovery and Analysis

Автор: Ceravolo
Название: Data-Driven Process Discovery and Analysis
ISBN: 3319741608 ISBN-13(EAN): 9783319741604
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the revised selected papers from the 6th IFIP WG 2.6 International Symposium on Data-Driven Process Discovery and Analysis, SIMPDA 2016, held in Graz, Austria in December 2016. The 5 papers presented in this volume were carefully reviewed and selected from 18 submissions.

Data Analysis, Machine Learning and Knowledge Discovery

Автор: Myra Spiliopoulou; Lars Schmidt-Thieme; Ruth Janni
Название: Data Analysis, Machine Learning and Knowledge Discovery
ISBN: 331901594X ISBN-13(EAN): 9783319015941
Издательство: Springer
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Цена: 13974.00 р.
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Описание: Data analysis, machine learning and knowledge discovery are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics.

Data Mining and Knowledge Discovery for Process Monitoring and Control

Автор: Xue Z. Wang
Название: Data Mining and Knowledge Discovery for Process Monitoring and Control
ISBN: 1447111370 ISBN-13(EAN): 9781447111375
Издательство: Springer
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Цена: 13974.00 р.
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Описание: Modern computer-based control systems are able to collect a large amount of information, display it to operators and store it in databases but the interpretation of the data and the subsequent decision making relies mainly on operators with little computer support.

Data-Driven Optimization and Knowledge Discovery for an Enterprise Information System

Автор: Qing Duan; Krishnendu Chakrabarty; Jun Zeng
Название: Data-Driven Optimization and Knowledge Discovery for an Enterprise Information System
ISBN: 3319187376 ISBN-13(EAN): 9783319187372
Издательство: Springer
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Цена: 14365.00 р.
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Описание: This book provides a comprehensive set of optimization and prediction techniques for an enterprise information system.

Modern Statistics for Modern Biology

Автор: Holmes Susan
Название: Modern Statistics for Modern Biology
ISBN: 1108705294 ISBN-13(EAN): 9781108705295
Издательство: Cambridge Academ
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Цена: 8237.00 р.
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Описание: Designed for a new generation of biologists, this textbook teaches modern computational statistics by using R/Bioconductor to analyze experimental data from high-throughput technologies. The presentation minimizes mathematical notation and emphasizes inductive understanding from well-chosen examples, hands-on simulation, and visualization.

Data Mining and Knowledge Discovery for Geoscientists

Автор: Guangren Shi
Название: Data Mining and Knowledge Discovery for Geoscientists
ISBN: 0124104371 ISBN-13(EAN): 9780124104372
Издательство: Elsevier Science
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Цена: 15159.00 р.
Наличие на складе: Поставка под заказ.

Описание: Addresses challenges by summarizing the developments in geosciences data mining and arming scientists with the ability to apply key concepts to effectively analyze and interpret vast amounts of critical information. This title focuses on 22 of data mining`s practical algorithms and application samples.

Quantitative Data Analysis

Автор: Willem Mertens and Amedeo Pugliese
Название: Quantitative Data Analysis
ISBN: 3319426990 ISBN-13(EAN): 9783319426990
Издательство: Springer
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Цена: 10480.00 р.
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Описание: This book offers postgraduate and early career researchers in accounting and information systems a guide to choosing, executing and reporting appropriate data analysis methods to answer their research questions. It provides readers with a basic understanding of the steps that each method involves, and of the facets of the analysis that require special attention. Rather than presenting an exhaustive overview of the methods or explaining them in detail, the book serves as a starting point for developing data analysis skills: it provides hands-on guidelines for conducting the most common analyses and reporting results, and includes pointers to more extensive resources. Comprehensive yet succinct, the book is brief and written in a language that everyone can understand - from students to those employed by organizations wanting to study the context in which they work. It also serves as a refresher for researchers who have learned data analysis techniques previously but who need a reminder for the specific study they are involved in.

Social Media Data Extraction and Content Analysis

Автор: Shalin Hai-Jew
Название: Social Media Data Extraction and Content Analysis
ISBN: 1522506489 ISBN-13(EAN): 9781522506485
Издательство: Mare Nostrum (Eurospan)
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Цена: 33403.00 р.
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Описание: Explores various social networking platforms and the technologies being utilized to gather and analyse information being posted to these venues. Highlighting emergent research, analytical techniques, and best practices in data extraction in global electronic culture, this publication is an essential reference source for researchers, academics, and professionals.


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