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Data-Driven Process Discovery and Analysis, Paolo Ceravolo; Rafael Accorsi; Philippe Cudre-Mau


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Автор: Paolo Ceravolo; Rafael Accorsi; Philippe Cudre-Mau
Название:  Data-Driven Process Discovery and Analysis
ISBN: 9783662464359
Издательство: Springer
Классификация:


ISBN-10: 3662464357
Обложка/Формат: Paperback
Страницы: 135
Вес: 0.22 кг.
Дата издания: 19.03.2015
Серия: Lecture Notes in Business Information Processing
Язык: English
Размер: 234 x 156 x 8
Основная тема: Computer Science
Подзаголовок: Third IFIP WG 2.6, 2.12 International Symposium, SIMPDA 2013, Riva del Garda, Italy, August 30, 2013, Revised Selected Papers
Ссылка на Издательство: Link
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Поставляется из: Германии
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.


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.

Biologically-Inspired Techniques For Knowledge Discovery And Data Mining

Автор: Alam
Название: Biologically-Inspired Techniques For Knowledge Discovery And Data Mining
ISBN: 1466660783 ISBN-13(EAN): 9781466660786
Издательство: Mare Nostrum (Eurospan)
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Цена: 38669.00 р.
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Описание: Biologically-inspired data mining has a wide variety of applications in areas such as data clustering, classification, sequential pattern mining, and information extraction in healthcare and bioinformatics. Over the past decade, research materials in this area have dramatically increased, providing clear evidence of the popularity of these techniques.Biologically-Inspired Techniques for Knowledge Discovery and Data Mining exemplifies prestigious research and shares the practices that have allowed these areas to grow and flourish. This essential reference publication highlights contemporary findings in the area of biologically-inspired techniques in data mining domains and their implementation in real-life problems. Providing quality work from established researchers, this publication serves to extend existing knowledge within the research communities of data mining and knowledge discovery, as well as for academicians and students in the field.

Improving Knowledge Discovery Through The Integration Of Data Mining 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: 32848.00 р.
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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.

Visual Data Discovery by Design

Автор: Lindy Ryan
Название: Visual Data Discovery by Design
ISBN: 0128038446 ISBN-13(EAN): 9780128038444
Издательство: Elsevier Science
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Цена: 6230.00 р.
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Описание:

Data is powerful. It separates leaders from laggards and it drives business disruption, transformation, and reinvention. Today s most progressive companies are using the power of data to propel their industries into new areas of innovation, specialization, and optimization. The horsepower of new tools and technologies have provided more opportunities than ever to harness, integrate, and interact with massive amounts of disparate data for business insights and value something that will only continue in the era of the Internet of Things. And, as a new breed of tech-savvy and digitally native knowledge workers rise to the ranks of data scientist and visual analyst, the needs and demands of the people working with data are changing, too.

The world of data is changing fast. And, it s becoming more visual.

Visual insights are becoming increasingly dominant in information management, and with the reinvigorated role of data visualization, this imperative is a driving force to creating a visual culture of data discovery. The traditional standards of data visualizations are making way for richer, more robust and more advanced visualizations and new ways of seeing and interacting with data. However, while data visualization is a critical tool to exploring and understanding bigger and more diverse and dynamic data, by understanding and embracing our human hardwiring for visual communication and storytelling and properly incorporating key design principles and evolving best practices, we take the next step forward to transform data visualizations from tools into unique visual information assets.
Discusses several years of in-depth industry research and presents vendor tools, approaches, and methodologies in discovery, visualization, and visual analyticsProvides practicable and use case-based experience from advisory work with Fortune 100 and 500 companies across multiple verticalsPresents the next-generation of visual discovery, data storytelling, and the Five Steps to Data Storytelling with VisualizationExplains the Convergence of Visual Analytics and Visual discovery, including how to use tools such as R in statistical and analytic modelingCovers emerging technologies such as streaming visualization in the IOT (Internet of Things) and streaming animation "

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.

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: 6097.00 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; Barbara Russo; Rafael Accorsi
Название: Data-Driven Process Discovery and Analysis
ISBN: 331927242X ISBN-13(EAN): 9783319272429
Издательство: Springer
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Цена: 6342.00 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: 6097.00 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 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: 12196.00 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: 12196.00 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: 12537.00 р.
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Описание: This book provides a comprehensive set of optimization and prediction techniques for an enterprise information system.

Developing Churn Models Using Data Mining Techniques And Social Network Analysis

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: 27027.00 р.
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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.


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