Open Heritage Data: Publishing and using open data for visualization, mapping, and mining in cultural heritage institutions, Henriette Roued-Cunliffe

Автор: Henriette Roued-Cunliffe
Название: Open heritage data : an introduction to research, publishing and programming with open data in the heritage sector
ISBN: 178330359X ISBN-13(EAN): 9781783303595
Издательство: Facet
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Цена: 95040.00 T
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Описание: This book combines current research in open data practices in the heritage sector with technical step-by-step guides on how to work with heritage data for visualisation, mapping, and mining.

Автор: Gill Hamilton and Fred Saunderson
Название: Open Licensing for Cultural Heritage
ISBN: 1783301856 ISBN-13(EAN): 9781783301850
Издательство: Facet
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Цена: 102080.00 T
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Описание: This practical and explanatory guide for library and cultural heritage professionals introduces and explains the use of open licences for content, data and metadata in libraries and other cultural heritage organisations.

Автор: Tiziana Catarci; Nicola Ferro; Antonella Poggi
Название: Bridging Between Cultural Heritage Institutions
ISBN: 3642543464 ISBN-13(EAN): 9783642543463
Издательство: Springer
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Цена: 54040.00 T
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Описание: This book constitutes the thoroughly refereed proceedings of the 9th Italian Research Conference on Digital Libraries, held in Rome, Italy, in January/February 2013. The 18 full papers presented together with an invited paper and a panel paper were selected from extended versions of the presentations given at the conference.

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: Brath Richard, Jonker David
Название: Graph Analysis and Visualization
ISBN: 1118845846 ISBN-13(EAN): 9781118845844
Издательство: Wiley
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Цена: 40120.00 T
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Описание: Wring more out of the data with a scientific approach to analysis Graph Analysis and Visualization brings graph theory out of the lab and into the real world.

Автор: Danai Koutra, Christos Faloutsos
Название: Individual and Collective Graph Mining: Principles, Algorithms, and Applications
ISBN: 1681732475 ISBN-13(EAN): 9781681732473
Издательство: Mare Nostrum (Eurospan)
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Цена: 108110.00 T
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Описание: Presents scalable, principled discovery algorithms that combine globality with locality to make sense of one or more graphs. In addition to fast algorithmic methodologies, the book also contribute graph-theoretical ideas and models, and real-world applications in two main areas - Individual Graph Mining and Collective Graph Mining.

Автор: Seth van Hooland, Ruben Verborgh
Название: Linked Data for Libraries, Archives and Museums: How to clean, link and publish your metadata
ISBN: 1783303018 ISBN-13(EAN): 9781783303014
Издательство: Facet
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Цена: 183040.00 T
Наличие на складе: Невозможна поставка.
Описание: This highly practical handbook teaches you how to unlock the value of your existing metadata through cleaning, reconciliation, enrichment and linking and how to streamline the process of new metadata creation.

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: 180180.00 T
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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.

Автор: Bhatnagar Vishal
Название: Collaborative Filtering Using Data Mining and Analysis
ISBN: 1522504893 ISBN-13(EAN): 9781522504894
Издательство: Mare Nostrum (Eurospan)
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Цена: 189420.00 T
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Описание: Internet usage has become a normal and essential aspect of everyday life. Due to the immense amount of information available on the web, it has become obligatory to find ways to sift through and categorize the overload of data while removing redundant material. Collaborative Filtering Using Data Mining and Analysis evaluates the latest patterns and trending topics in the utilization of data mining tools and filtering practices. Featuring emergent research and optimization techniques in the areas of opinion mining, text mining, and sentiment analysis, as well as their various applications, this book is an essential reference source for researchers and engineers interested in collaborative filtering.

Автор: Linoff Gordon S.
Название: Data Analysis Using SQL and Excel
ISBN: 111902143X ISBN-13(EAN): 9781119021438
Издательство: Wiley
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Цена: 41190.00 T
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Описание: A practical guide to data mining using SQL and Excel Data Analysis Using SQL and Excel, 2nd Edition shows you how to leverage the two most popular tools for data query and analysis SQL and Excel to perform sophisticated data analysis without the need for complex and expensive data mining tools.

Автор: Matignon
Название: Data Mining Using SAS Enterprise Miner
ISBN: 0470149019 ISBN-13(EAN): 9780470149010
Издательство: Wiley
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Цена: 123500.00 T
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Описание: Data Mining Using SAS(r) Enterprise Miner introduces the reader to a wide variety of data mining techniques in SAS(r) Enterprise Miner. This first-of-a-kind book explains the purpose of -- and reasoning behind -- every node that is a part of Enterprise Miner with regard to SEMMA design and data mining analysis.

Автор: Pawel Cichosz
Название: Data Mining Algorithms: Explained Using R
ISBN: 111833258X ISBN-13(EAN): 9781118332580
Издательство: Wiley
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Цена: 66470.00 T
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Описание: Data Mining Algorithms is a practical, technically-oriented guide to data mining algorithms that covers the most important algorithms for building classification, regression, and clustering models, as well as techniques used for attribute selection and transformation, model quality evaluation, and creating model ensembles.