Data-Driven Process Discovery and Analysis, Paolo Ceravolo; Barbara Russo; Rafael Accorsi
Автор: Paolo Ceravolo; Stefanie Rinderle-Ma Название: Data-Driven Process Discovery and Analysis ISBN: 3319534343 ISBN-13(EAN): 9783319534343 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Paolo Ceravolo; Rafael Accorsi; Philippe Cudre-Mau Название: Data-Driven Process Discovery and Analysis ISBN: 3662464357 ISBN-13(EAN): 9783662464359 Издательство: Springer Рейтинг: Цена: 7267.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Philippe Cudr?-Mauroux; Paolo Ceravolo; Dragan Ga? Название: Data-Driven Process Discovery and Analysis ISBN: 3642409180 ISBN-13(EAN): 9783642409189 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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 Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Data analysis, machine learning and knowledge discovery are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics.
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.
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 Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Mohamed Medhat Gaber; Ranga Raju Vatsavai; Olufemi Название: Knowledge Discovery from Sensor Data ISBN: 3642125182 ISBN-13(EAN): 9783642125188 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Evangelos Triantaphyllou Название: Data Mining and Knowledge Discovery via Logic-Based Methods ISBN: 1441916296 ISBN-13(EAN): 9781441916297 Издательство: Springer Рейтинг: Цена: 23058.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Evangelos Triantaphyllou Название: Data Mining and Knowledge Discovery via Logic-Based Methods ISBN: 1461426138 ISBN-13(EAN): 9781461426134 Издательство: Springer Рейтинг: Цена: 23058.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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 Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
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