Advances in Data Mining. Applications and Theoretical Aspects, Perner

Автор: Petra Perner
Название: Advances in Data Mining. Applications and Theoretical Aspects
ISBN: 3642030661 ISBN-13(EAN): 9783642030666
Издательство: Springer
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Цена: 81050.00 T
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Описание: The topics range from theoretical aspects of data mining to app- cations of data mining, such as on multimedia data, in marketing, finance and telec- munication, in medicine and agriculture, and in process control, industry and society.

Автор: Tang
Название: Advanced Data Mining and Applications
ISBN: 3540881913 ISBN-13(EAN): 9783540881919
Издательство: Springer
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Цена: 102480.00 T
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Описание: Constitutes the refereed proceedings of the 4th International Conference on Advanced Data Mining and Applications, ADMA 2008, held in Chengdu, China, in October 2008. This book focuses on advancements in data mining and peculiarities and challenges of real world applications using data mining.

Автор: Li
Название: Advanced Data Mining and Applications
ISBN: 3319495852 ISBN-13(EAN): 9783319495859
Издательство: Springer
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Цена: 98760.00 T
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Описание: The selected papers covered a wide variety of important topics in the area of data mining, including parallel and distributed data mining algorithms, mining on data streams, graph mining, spatial data mining, multimedia data mining, Web mining, the Internet of Things, health informatics, and biomedical data mining.

Автор: Myatt
Название: Making Sense of Data II - A Practical Guide to Data Visualization, Advanced Data Mining Methods, and Applications
ISBN: 0470222808 ISBN-13(EAN): 9780470222805
Издательство: Wiley
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Цена: 94990.00 T
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Описание: This book provides a general end-to-end discussion concerning the process of translating raw data to scientific and business decisions. The reader`s ability to find patterns in data will be greatly enhanced due to the book`s combination of statistical learning with powerful visualization techniques.

Автор: Takashi Washio; Einoshin Suzuki; Kai Ming Ting; Ak
Название: Advances in Knowledge Discovery and Data Mining
ISBN: 3540681248 ISBN-13(EAN): 9783540681243
Издательство: Springer
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Цена: 149060.00 T
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Описание: 12th Pacific-Asia Conference PAKDD 2008 Osaka Japan May 20-23 2008 Proceedings.

Автор: Ranise
Название: Data and Applications Security and Privacy XXX
ISBN: 3319414828 ISBN-13(EAN): 9783319414829
Издательство: Springer
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Цена: 69880.00 T
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Описание: This book constitutes the refereed proceedings of the 30th Annual IFIP WG 11.3 International Working Conference on Data and Applications Security and Privacy, DBSec 2016, held in trento, Itlay, in July 2016.

Автор: Bornschlegl
Название: Advanced Visual Interfaces. Supporting Big Data Applications
ISBN: 3319500694 ISBN-13(EAN): 9783319500690
Издательство: Springer
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Цена: 39130.00 T
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Описание:

IVIS4BigData: A Reference Model for Advanced Visual Interfaces Supporting Big Data Analysis in Virtual Research Environments.- Engineering Study of Tidal Stream Renewable Energy Generation and Visualization: Issues of Process Modelling and Implementation.- Cost effective visualization of research data for cognitive development using mobile Augmented Reality.- Visualizing Next-Generation Sequencing Cancer Data Sets with Cloud Computing.- SenseCare: Towards an Experimental Platform for Home-Based, Visualisation of Emotional States of People with Dementia.- Toward Interactive Visualization of Results from Domain-Specific Text Analytics.- Towards Synchronizing Data Sources and Information Visualizations in Virtual Research Environments.- Visual analytics and mining over Big Data.- A Meta-design Approach to Support Information Access and Manipulation in Virtual Research Environments.

Автор: Cao
Название: Trends and Applications in Knowledge Discovery and Data Mining
ISBN: 3319429957 ISBN-13(EAN): 9783319429953
Издательство: Springer
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Цена: 46590.00 T
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Описание: This book constitutes the thoroughly refereed post-workshop proceedings at PAKDD Workshops 2016, held in conjunction with PAKDD, the 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining in Auckland, New Zealand, in April 2016. The 23 revised papers presented were carefully reviewed and selected from 38 submissions.

Автор: Jiawei Han
Название: Data Mining: Concepts and Techniques,
ISBN: 0123814790 ISBN-13(EAN): 9780123814791
Издательство: Elsevier Science
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Цена: 64800.00 T
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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: Ian H. Witten
Название: Data Mining: Practical Machine Learning Tools and Techniques,
ISBN: 0123748569 ISBN-13(EAN): 9780123748560
Издательство: Elsevier Science
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Цена: 57970.00 T
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Описание: Like the popular second edition, Data Mining: Practical Machine Learning Tools and Techniques offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. Inside, you'll learn all you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining?including both tried-and-true techniques of today as well as methods at the leading edge of contemporary research. <br><br>Complementing the book is a fully functional platform-independent open source Weka software for machine learning, available for free download. <br><br>The book is a major revision of the second edition that appeared in 2005. While the basic core remains the same, it has been updated to reflect the changes that have taken place over the last four or five years. The highlights for the updated new edition include completely revised technique sections; new chapter on Data Transformations, new chapter on Ensemble Learning, new chapter on Massive Data Sets, a new ?book release? version of the popular Weka machine learning open source software (developed by the authors and specific to the Third Edition); new material on ?multi-instance learning?; new information on ranking the classification, plus comprehensive updates and modernization throughout. All in all, approximately 100 pages of new material.<br> <br><br>* Thorough grounding in machine learning concepts as well as practical advice on applying the tools and techniques<br><br>* Algorithmic methods at the heart of successful data mining?including tired and true methods as well as leading edge methods<br><br>* Performance improvement techniques that work by transforming the input or output<br><br>* Downloadable Weka, a collection of machine learning algorithms for data mining tasks, including tools for data pre-processing, classification, regression, clustering, association rules, and visualization?in an updated, interactive interface. <br>

Автор: Bostr?m
Название: Advances in Intelligent Data Analysis XV
ISBN: 3319463489 ISBN-13(EAN): 9783319463483
Издательство: Springer
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Цена: 61490.00 T
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Описание: This book constitutes the refereed conference proceedings of the 15th International Conference on Intelligent Data Analysis, which was held in October 2016 in Stockholm, Sweden. The traditional focus of the IDA symposium series is on end-to-end intelligent support for data analysis.

Название: Data Mining and Applications in Genomics
ISBN: 1402089740 ISBN-13(EAN): 9781402089749
Издательство: Springer
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Цена: 111790.00 T
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Описание: Data Mining and Applications in Genomics contains the data mining algorithms and their applications in genomics, with frontier case studies based on the recent and current works at the University of Hong Kong and the Oxford University Computing Laboratory, University of Oxford.