Uncertainty handling and quality assessment in data mining, Vazirgiannis, Michalis Halkidi, Maria Gunopulos, Dimitrios

Автор: Foster Provost
Название: Data Science For Business: What You Need To Know About Data Mining And Dataanalytic Thinking
ISBN: 1449361323 ISBN-13(EAN): 9781449361327
Издательство: Wiley
Рейтинг:
Цена: 6334.00 р.
Наличие на складе: Есть (1 шт.)
Описание: This broad, deep, but not-too-technical guide introduces you to the fundamental principles of data science and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect.

Автор: Furber, Christian
Название: Data quality management with semantic technologies
ISBN: 3658122242 ISBN-13(EAN): 9783658122249
Издательство: Springer
Рейтинг:
Цена: 9141.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Based on a literature analysis of typical data quality problems and typical activities of data quality management processes, he develops the Semantic Data Quality Management framework as the major contribution of this thesis.

Автор: Rahman & Ramos
Название: Ethical Data Mining Applications For Socio-Economic Development
ISBN: 1466640782 ISBN-13(EAN): 9781466640788
Издательство: Mare Nostrum (Eurospan)
Рейтинг:
Цена: 28413.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: <em>Ethical Data Mining Applications for Socio-Economic Development</em> provides an overview of data mining techniques under an ethical lens, investigating developments in research best practices and examining experimental cases to identify potential ethical dilemmas in the information and communications technology sector. The cases and research in this book will benefit scientists, researchers, and practitioners working in the field of data mining, data warehousing, and database management to ensure that data obtained through web-based investigations is properly handled at all organisational levels. This book is part of the <em>Advances in Data Mining and Database Management</em> series collection.

Автор: Djamel A. Zighed; Jan Komorowski; Jan Zytkow
Название: Principles of Data Mining and Knowledge Discovery
ISBN: 354041066X ISBN-13(EAN): 9783540410669
Издательство: Springer
Рейтинг:
Цена: 16769.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This work offers sections on new directions, rules and trees, databases and reward-based learning, classification, association rules and exceptions, instance-based discovery, clustering, and time series analysis.

Автор: Xindong Wu; Ramamohanarao Kotagiri; Kevin B. Korb
Название: Research and Development in Knowledge Discovery and Data Mining
ISBN: 3540643834 ISBN-13(EAN): 9783540643838
Издательство: Springer
Рейтинг:
Цена: 12157.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This collection of papers contributes results to all aspects in knowledge discovery and data mining on the research level as well as on machine learning, information systems, the Internet, statistics, knowledge acquisition, data visualization, software re-engineering, and knowledge-based systems.

Автор: Ron Kohavi; Brij M. Masand; Myra Spiliopoulou; Jai
Название: WEBKDD 2001 - Mining Web Log Data Across All Customers Touch Points
ISBN: 3540439692 ISBN-13(EAN): 9783540439691
Издательство: Springer
Рейтинг:
Цена: 8384.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Constituting the post-proceedings of the third International Workshop on Mining Web Data, these seven papers address key issues in mining Web log data for e-commerce and are devoted to predicting user access; recommender systems and access modelling and acquiring and modelling data and patterns.

Автор: S. Finlay
Название: Predictive Analytics, Data Mining and Big Data
ISBN: 1349478687 ISBN-13(EAN): 9781349478682
Издательство: Springer
Рейтинг:
Цена: 4890.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This in-depth guide provides managers with a solid understanding of data and data trends, the opportunities that it can offer to businesses, and the dangers of these technologies. Written in an accessible style, Steven Finlay provides a contextual roadmap for developing solutions that deliver benefits to organizations.

Автор: Osmar R. Zaiane; Jaideep Srivastava; Myra Spiliopo
Название: WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles
ISBN: 3540203044 ISBN-13(EAN): 9783540203049
Издательство: Springer
Рейтинг:
Цена: 8384.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book constitutes the thoroughly refereed post-proceedings of the 4th International Workshop on Mining Web Data, WEBKDD 2002, held in Edmonton, Canada, in July 2002.The 10 revised full papers presented together with a detailed preface went through two rounds of reviewing and improvement and were selected from 23 submissions.

Автор: Galit Shmueli, Peter C. Bruce, Nitin R. Patel
Название: Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner
ISBN: 1118729277 ISBN-13(EAN): 9781118729274
Издательство: Wiley
Рейтинг:
Цена: 17741.00 р.
Наличие на складе: Поставка под заказ.

Описание: Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner(R), Third Edition presents an applied approach to data mining and predictive analytics with clear exposition, hands-on exercises, and real-life case studies.

Автор: Ledolter Johannes
Название: Data Mining and Business Analytics with R
ISBN: 111844714X ISBN-13(EAN): 9781118447147
Издательство: Wiley
Рейтинг:
Цена: 17258.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Collecting, analyzing, and extracting valuable information from a large amount of data requires easily accessible, robust, computational and analytical tools. Data Mining and Business Analytics with R utilizes the open source software R for the analysis, exploration, and simplification of large high-dimensional data sets.