Data-Driven Process Discovery and Analysis, Paolo Ceravolo; Barbara Russo; Rafael Accorsi

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: 17900.00 T
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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.

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: 46570.00 T
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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.

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: 46570.00 T
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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.

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: 93160.00 T
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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.

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: 93160.00 T
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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.

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: 95770.00 T
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Описание: This book provides a comprehensive set of optimization and prediction techniques for an enterprise information system.

Автор: Klepac, Kopal & Mrsic
Название: Developing Churn Models Using Data Mining Techniques And Social Network Analysis
ISBN: 1466662883 ISBN-13(EAN): 9781466662889
Издательство: Mare Nostrum (Eurospan)
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Цена: 180180.00 T
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Описание: Churn prediction, recognition, and mitigation have become essential topics in various industries. As a means for forecasting and manageing risk, further research in this field can greatly assist companies in making informed decisions based on future possible scenarios.Developing Churn Models Using Data Mining Techniques and Social Network Analysis provides an in-depth analysis of attrition modeling relevant to business planning and management. Through its insightful and detailed explanation of best practices, tools, and theory surrounding churn prediction and the integration of analytics tools, this publication is especially relevant to managers, data specialists, business analysts, academicians, and upper-level students.

Автор: Willem Mertens and Amedeo Pugliese
Название: Quantitative Data Analysis
ISBN: 3319426990 ISBN-13(EAN): 9783319426990
Издательство: Springer
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Цена: 69870.00 T
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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.

Автор: Evangelos Triantaphyllou
Название: Data Mining and Knowledge Discovery via Logic-Based Methods
ISBN: 1441916296 ISBN-13(EAN): 9781441916297
Издательство: Springer
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Цена: 153720.00 T
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Описание: This book uses a novel method to study a series of interconnected key data mining and knowledge discovery problems in depth and in a way that stimulates the quest for more knowledge. It also presents a collection of examples, many from real-life applications.

Автор: Panos Pardalos; Petros Xanthopoulos; Michalis Zerv
Название: Data Mining for Biomarker Discovery
ISBN: 1489996435 ISBN-13(EAN): 9781489996435
Издательство: Springer
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Цена: 130430.00 T
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Описание: This book applies data mining techniques to the discovery and analysis of new biomarkers. Presenting new results, models and algorithms, coverage focuses on biomarker data integration, information retrieval methods and statistical machine learning techniques.

Автор: Usman
Название: Improving Knowledge Discovery Through The Integration Of Data Mining Techniques
ISBN: 1466685131 ISBN-13(EAN): 9781466685130
Издательство: Mare Nostrum (Eurospan)
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Цена: 218990.00 T
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Описание: Data warehousing is an important topic that is of interest to both the industry and the knowledge engineering research communities. Both data mining and data warehousing technologies have similar objectives and can potentially benefit from each other’s methods to facilitate knowledge discovery.Improving Knowledge Discovery through the Integration of Data Mining Techniques provides insight concerning the integration of data mining and data warehousing for enhancing the knowledge discovery process. Decision makers, academicians, researchers, advanced-level students, technology developers, and business intelligence professionals will find this book useful in furthering their research exposure to relevant topics in knowledge discovery.

Автор: Madria
Название: Big Data Analytics and Knowledge Discovery
ISBN: 3319439456 ISBN-13(EAN): 9783319439457
Издательство: Springer
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Цена: 54040.00 T
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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.