Data Mining and Decision Support, Dunja Mladenic; Nada Lavra?; Marko Bohanec; Steve
Автор: Roumen Kountchev; Barna Iantovics Название: Advances in Intelligent Analysis of Medical Data and Decision Support Systems ISBN: 3319033751 ISBN-13(EAN): 9783319033754 Издательство: Springer Рейтинг: Цена: 113180.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents new ideas and advances in medical informatics systems, including intelligent archiving, processing, analysis and search-by-content which will improve the quality of the medical services for every patient and for the global healthcare system.
Автор: Tuffery Название: Data Mining and Statistics for Decision Making ISBN: 0470688297 ISBN-13(EAN): 9780470688298 Издательство: Wiley Рейтинг: Цена: 74920.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge.
Автор: Chen Название: Computational Intelligence for Decision Support ISBN: 0849317991 ISBN-13(EAN): 9780849317996 Издательство: Taylor&Francis Рейтинг: Цена: 219470.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Intelligent decision support relies on techniques from a variety of disciplines, including artificial intelligence and database management systems. This book offers an explanation of how to use AI and DBMS together to achieve high-level decision making. It discusses computational intelligence as the science developed for decision support.
Автор: Li Niu; Jie Lu; Guangquan Zhang Название: Cognition-Driven Decision Support for Business Intelligence ISBN: 3642032079 ISBN-13(EAN): 9783642032073 Издательство: Springer Рейтинг: Цена: 156720.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The cognitive decision support system (DSS) provides excellent insight into the research and development of business intelligence. This volume presents current DDS technologies and the fundamentals that support them, in a systematic way.
Автор: С.Aggarwal Название: Data Mining: The Textbook ISBN: 3319141414 ISBN-13(EAN): 9783319141411 Издательство: Springer Рейтинг: Цена: 65210.00 T Наличие на складе: Поставка под заказ. Описание: This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications, capturing the wide diversity of problem domains for data mining issues.
Автор: Roumen Kountchev; Barna Iantovics Название: Advances in Intelligent Analysis of Medical Data and Decision Support Systems ISBN: 3319000284 ISBN-13(EAN): 9783319000282 Издательство: Springer Рейтинг: Цена: 130610.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents new ideas and advances in medical informatics systems, including intelligent archiving, processing, analysis and search-by-content which will improve the quality of the medical services for every patient and for the global healthcare system.
Автор: Isabelle Linden; Shaofeng Liu; Christian Colot Название: Decision Support Systems VII. Data, Information and Knowledge Visualization in Decision Support Systems ISBN: 3319574868 ISBN-13(EAN): 9783319574868 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the proceedings of the Third International Conference on Decision Support Systems, ICDSST 2017, held in Namur, Belgium, in May 2017.
Автор: Iv?n Palomares Carrascosa; Harsha Kumara Kalutarag Название: Data Analytics and Decision Support for Cybersecurity ISBN: 3319594389 ISBN-13(EAN): 9783319594385 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
The book illustrates the inter-relationship between several data management, analytics and decision support techniques and methods commonly adopted in Cybersecurity-oriented frameworks. The recent advent of Big Data paradigms and the use of data science methods, has resulted in a higher demand for effective data-driven models that support decision-making at a strategic level. This motivates the need for defining novel data analytics and decision support approaches in a myriad of real-life scenarios and problems, with Cybersecurity-related domains being no exception.
This contributed volume comprises nine chapters, written by leading international researchers, covering a compilation of recent advances in Cybersecurity-related applications of data analytics and decision support approaches. In addition to theoretical studies and overviews of existing relevant literature, this book comprises a selection of application-oriented research contributions. The investigations undertaken across these chapters focus on diverse and critical Cybersecurity problems, such as Intrusion Detection, Insider Threats, Insider Threats, Collusion Detection, Run-Time Malware Detection, Intrusion Detection, E-Learning, Online Examinations, Cybersecurity noisy data removal, Secure Smart Power Systems, Security Visualization and Monitoring.
Researchers and professionals alike will find the chapters an essential read for further research on the topic.
Автор: Boris Deliba?i?; Jorge E. Hern?ndez; Jason Papatha Название: Decision Support Systems V – Big Data Analytics for Decision Making ISBN: 3319185322 ISBN-13(EAN): 9783319185323 Издательство: Springer Рейтинг: Цена: 37270.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: 'Big Data' Decision Making Use Cases.- The Roles of Big Data in the Decision-Support Process: An Empirical Investigation.- Cloud Enabled Big Data Business Platform for Logistics Services: A Research and Development Agenda.- Making Sense of Governmental Activities Over Social Media: A Data-Driven Approach.- Data-Mining and Expert Models for Predicting Injury Risk in Ski Resorts.- The Effects of Performance Ratios in Predicting Corporate Bankruptcy: The Italian Case.- A Tangible Collaborative Decision Support System for Various Variants of the Vehicle Routing Problem.- Decision Support Model for Participatory Management of Water Resource.- Modeling Interactions Among Criteria in MCDM Methods: A Review.
Автор: Witten, Ian H. Название: Data Mining. Practical Machine Learning Tools and Techniques, 4 ed. ISBN: 0128042915 ISBN-13(EAN): 9780128042915 Издательство: Elsevier Science Рейтинг: Цена: 61750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches.
Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including substantial new chapters on probabilistic methods and on deep learning. Accompanying the book is a new version of the popular WEKA machine learning software from the University of Waikato. Authors Witten, Frank, Hall, and Pal include today's techniques coupled with the methods at the leading edge of contemporary research.
Please visit the book companion website at https: //www.cs.waikato.ac.nz/ ml/weka/book.html.
It contains
Powerpoint slides for Chapters 1-12. This is a very comprehensive teaching resource, with many PPT slides covering each chapter of the book
Online Appendix on the Weka workbench; again a very comprehensive learning aid for the open source software that goes with the book
Table of contents, highlighting the many new sections in the 4th edition, along with reviews of the 1st edition, errata, etc.
Provides a thorough grounding in machine learning concepts, as well as practical advice on applying the tools and techniques to data mining projects
Presents concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods
Includes a downloadable WEKA software toolkit, a comprehensive collection of machine learning algorithms for data mining tasks-in an easy-to-use interactive interface
Includes open-access online courses that introduce practical applications of the material in the book
Автор: Jiawei Han Название: Data Mining: Concepts and Techniques, ISBN: 0123814790 ISBN-13(EAN): 9780123814791 Издательство: Elsevier Science Рейтинг: Цена: 64800.00 T Наличие на складе: Поставка под заказ. Описание: Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. After describing data mining, this edition explains the methods of knowing, preprocessing, processing, and warehousing data. It then presents information about data warehouses, online analytical processing (OLAP), and data cube technology. Then, the methods involved in mining frequent patterns, associations, and correlations for large data sets are described. The book details the methods for data classification and introduces the concepts and methods for data clustering. The remaining chapters discuss the outlier detection and the trends, applications, and research frontiers in data mining. This book is intended for Computer Science students, application developers, business professionals, and researchers who seek information on data mining.
Автор: Henning M?ller; Tanveer Syeda-Mahmood; James Dunca Название: Medical Content-Based Retrieval for Clinical Decision Support ISBN: 3642117686 ISBN-13(EAN): 9783642117688 Издательство: Springer Рейтинг: Цена: 65210.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Constitutes the refereed proceedings of the first MICCAI Workshop on Medical Content-Based Retrieval for Clinical Decision Support, MCBR_CBS 2009, held in London, UK, in September 2009. This book includes the papers that are divided on several topics on medical image retrieval, clinical decision making and multimodal fusion.
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