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Knowledge Discovery and Data Mining. Current Issues and New Applications, Takao Terano; Huan Liu; Arbee L.P. Chen


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Автор: Takao Terano; Huan Liu; Arbee L.P. Chen
Название:  Knowledge Discovery and Data Mining. Current Issues and New Applications
ISBN: 9783540673828
Издательство: Springer
Классификация:
ISBN-10: 3540673822
Обложка/Формат: Paperback
Страницы: 462
Вес: 0.63 кг.
Дата издания: 05.04.2000
Серия: Lecture Notes in Artificial Intelligence
Язык: English
Размер: 240 x 156 x 26
Основная тема: Computer Science
Подзаголовок: Current Issues and New Applications: 4th Pacific-Asia Conference, PAKDD 2000 Kyoto, Japan, April 18-20, 2000 Proceedings
Ссылка на Издательство: Link
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Поставляется из: Германии


Автор: S. Srinivasan
Название: Guide to Big Data Applications
ISBN: 3319538160 ISBN-13(EAN): 9783319538167
Издательство: Springer
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Цена: 25155.00 р.
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Описание: This handbook brings together a variety of approaches to the uses of big data in multiple fields, primarily science, medicine, and business. This single resource features contributions from researchers around the world from a variety of fields, where they share their findings and experience. This book is intended to help spur further innovation in big data. The research is presented in a way that allows readers, regardless of their field of study, to learn from how applications have proven successful and how similar applications could be used in their own field. Contributions stem from researchers in fields such as physics,   biology, energy, healthcare, and   business. The contributors also discuss important topics such as fraud detection, privacy implications, legal perspectives, and ethical handling of big data.

Highlighting the Importance of Big Data Management and Analysis for Various Applications

Автор: Mohammad Moshirpour; Behrouz Far; Reda Alhajj
Название: Highlighting the Importance of Big Data Management and Analysis for Various Applications
ISBN: 3319602543 ISBN-13(EAN): 9783319602547
Издательство: Springer
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Цена: 12577.00 р.
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Описание: This book addresses the impacts of various types of services such as infrastructure, platforms, software, and business processes that cloud computing and Big Data have introduced into business.

Big Data Applications and Use Cases

Автор: Patrick C. K. Hung
Название: Big Data Applications and Use Cases
ISBN: 3319301446 ISBN-13(EAN): 9783319301440
Издательство: Springer
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Цена: 13275.00 р.
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Описание: Many businesses today are increasingly interested in utilizing big data technologies for supporting their business intelligence so that it is becoming more and more important to understand the various practical issues from different practical use cases.

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: 6986.00 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, Expert Knowledge and Decisions

Автор: Wolfgang A. Gaul; Martin Schader
Название: Data, Expert Knowledge and Decisions
ISBN: 364273491X ISBN-13(EAN): 9783642734915
Издательство: Springer
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Цена: 15372.00 р.
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Описание: Concrete interconnections between data analysis and marketing can be seen in the contributions on classification and unfolding of market data, market segmentation by forced classification, conjoint analysis applications, ideal point product mapping, MDS in telecommunications pricing and multi-mode marketing data evaluations.

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: 7267.00 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: Paolo Ceravolo; Rafael Accorsi; Philippe Cudre-Mau
Название: Data-Driven Process Discovery and Analysis
ISBN: 3662464357 ISBN-13(EAN): 9783662464359
Издательство: Springer
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Цена: 7267.00 р.
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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.

Towards Analytical Techniques for Optimizing Knowledge Acquisition, Processing, Propagation, and Use in Cyberinfrastructure and Big Data

Автор: L. Octavio Lerma; Vladik Kreinovich
Название: Towards Analytical Techniques for Optimizing Knowledge Acquisition, Processing, Propagation, and Use in Cyberinfrastructure and Big Data
ISBN: 3319613480 ISBN-13(EAN): 9783319613482
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This book describes analytical techniques for optimizing knowledge acquisition, processing, and propagation, especially in the contexts of cyber-infrastructure and big data.

Decision Support Systems VII. Data, Information and Knowledge Visualization in Decision Support Systems

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
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Цена: 6986.00 р.
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Описание: This book constitutes the proceedings of the Third International Conference on Decision Support Systems, ICDSST 2017, held in Namur, Belgium, in May 2017.

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: 6986.00 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.

Exploiting Linked Data and Knowledge Graphs for Large Organisations

Автор: Jeff Z. Pan; Guido Vetere; Jose Manuel Gomez-Perez
Название: Exploiting Linked Data and Knowledge Graphs for Large Organisations
ISBN: 3319456520 ISBN-13(EAN): 9783319456522
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This book addresses the topic of exploiting enterprise-linked data with a particular focus on knowledge construction and accessibility within enterprises. It identifies the gaps between the requirements of enterprise knowledge consumption and "standard" data consuming technologies by analysing real-world use cases, and proposes the enterprise knowledge graph to fill such gaps.

It provides concrete guidelines for effectively deploying linked-data graphs within and across business organizations. It is divided into three parts, focusing on the key technologies for constructing, understanding and employing knowledge graphs. Part 1 introduces basic background information and technologies, and presents a simple architecture to elucidate the main phases and tasks required during the lifecycle of knowledge graphs. Part 2 focuses on technical aspects; it starts with state-of-the art knowledge-graph construction approaches, and then discusses exploration and exploitation techniques as well as advanced question-answering topics concerning knowledge graphs. Lastly, Part 3 demonstrates examples of successful knowledge graph applications in the media industry, healthcare and cultural heritage, and offers conclusions and future visions.

Data Mining Methods for Knowledge Discovery

Автор: Krzysztof J. Cios; Witold Pedrycz; Roman W. Swinia
Название: Data Mining Methods for Knowledge Discovery
ISBN: 1461375576 ISBN-13(EAN): 9781461375579
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Data Mining Methods for Knowledge Discovery provides an introduction to the data mining methods that are frequently used in the process of knowledge discovery.


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