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Beyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge Discovery, Stanis?aw Kozielski; Dariusz Mrozek; Pawe? Kasprow


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Автор: Stanis?aw Kozielski; Dariusz Mrozek; Pawe? Kasprow
Название:  Beyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge Discovery
ISBN: 9783319340982
Издательство: Springer
Классификация:


ISBN-10: 3319340980
Обложка/Формат: Paperback
Страницы: 738
Вес: 1.04 кг.
Дата издания: 28.04.2016
Серия: Communications in Computer and Information Science
Язык: English
Размер: 234 x 156 x 38
Основная тема: Computer Science
Подзаголовок: 12th International Conference, BDAS 2016, Ustro?, Poland, May 31 - June 3, 2016, Proceedings
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book constitutes the refereed proceedings of the 12th International Conference entitled Beyond Databases, Architectures and Structures, BDAS 2016, held in Ustron, Poland, in May/June 2016.It consists of 57 carefully reviewed papers selected from 152 submissions. architectures, structures and algorithms for efficient data processing;


Biologically-Inspired Techniques For Knowledge Discovery And Data Mining

Автор: Alam
Название: Biologically-Inspired Techniques For Knowledge Discovery And Data Mining
ISBN: 1466660783 ISBN-13(EAN): 9781466660786
Издательство: Mare Nostrum (Eurospan)
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Цена: 38669.00 р.
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Описание: Biologically-inspired data mining has a wide variety of applications in areas such as data clustering, classification, sequential pattern mining, and information extraction in healthcare and bioinformatics. Over the past decade, research materials in this area have dramatically increased, providing clear evidence of the popularity of these techniques.Biologically-Inspired Techniques for Knowledge Discovery and Data Mining exemplifies prestigious research and shares the practices that have allowed these areas to grow and flourish. This essential reference publication highlights contemporary findings in the area of biologically-inspired techniques in data mining domains and their implementation in real-life problems. Providing quality work from established researchers, this publication serves to extend existing knowledge within the research communities of data mining and knowledge discovery, as well as for academicians and students in the field.

Advances in Knowledge Discovery and Data Mining

Автор: Vincent S. Tseng; Tu Bao Ho; Zhi-Hua Zhou; Arbee L
Название: Advances in Knowledge Discovery and Data Mining
ISBN: 3319066072 ISBN-13(EAN): 9783319066073
Издательство: Springer
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Цена: 14673.00 р.
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Описание: The two-volume set LNAI 8443 + LNAI 8444 constitutes the refereed proceedings of the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2014, held in Tainan, Taiwan, in May 2014. They cover the general fields of pattern mining; graph and network mining; biomedical data mining; and unstructured data and text mining.

Trends and Applications in Knowledge Discovery and Data Mining

Автор: U Kang; Ee-Peng Lim; Jeffrey Xu Yu; Yang-Sae Moon
Название: Trends and Applications in Knowledge Discovery and Data Mining
ISBN: 3319672738 ISBN-13(EAN): 9783319672731
Издательство: Springer
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Цена: 7685.00 р.
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Описание: The workshops affiliated with PAKDD 2017 include: Workshop on Machine Learning for Sensory Data Analysis (MLSDA), Workshop on Biologically Inspired Data Mining Techniques (BDM), Pacific Asia Workshop on Intelligence and Security Informatics (PAISI), and Workshop on Data Mining in Business Process Management (DM-BPM).

Machine Learning and Knowledge Discovery in Databases

Автор: Frasconi
Название: Machine Learning and Knowledge Discovery in Databases
ISBN: 3319461273 ISBN-13(EAN): 9783319461274
Издательство: Springer
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Цена: 13696.00 р.
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Описание: The three volume set LNAI 9851, LNAI 9852, and LNAI 9853 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2016, held in Riva del Garda, Italy, in September 2016.

Machine Learning and Knowledge Discovery in Databases

Автор: Frasconi
Название: Machine Learning and Knowledge Discovery in Databases
ISBN: 3319462261 ISBN-13(EAN): 9783319462264
Издательство: Springer
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Цена: 13696.00 р.
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Описание: The three volume set LNAI 9851, LNAI 9852, and LNAI 9853 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2016, held in Riva del Garda, Italy, in September 2016.

Knowledge discovery in multiple databases

Автор: Zhang, Shichao Zhang, Chengqi Wu, Xindong
Название: Knowledge discovery in multiple databases
ISBN: 1447110501 ISBN-13(EAN): 9781447110507
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This challenge has attracted a great many researchers including the au thors who have developed a local pattern analysis, a new strategy for dis covering some kinds of potentially useful patterns that cannot be mined in traditional multi-database mining techniques.

Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Knowledge Representation

Автор: Stanis?aw Kozielski; Dariusz Mrozek; Pawe? Kasprow
Название: Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Knowledge Representation
ISBN: 3319582739 ISBN-13(EAN): 9783319582733
Издательство: Springer
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Цена: 12577.00 р.
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Описание: This book constitutes the refereed proceedings of the 13th International Conference entitled Beyond Databases, Architectures and Structures, BDAS 2017, held in Ustron, Poland, in May/June 2017.It consists of 44 carefully reviewed papers selected from 118 submissions.

Beyond Databases, Architectures and Structures

Автор: Stanis?aw Kozielski; Dariusz Mrozek; Pawe? Kasprow
Название: Beyond Databases, Architectures and Structures
ISBN: 3319184210 ISBN-13(EAN): 9783319184210
Издательство: Springer
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Цена: 12578.00 р.
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Описание: This book constitutes the refereed proceedings of the 11th International Conference entitled Beyond Databases, Architectures and Structures, BDAS 2015, held in Ustron, Poland, in May 2015.This book consists of 53 carefully revised selected papers that are assigned to 8 thematic groups: database architectures and performance;

Advanced Techniques in Knowledge Discovery and Data Mining

Автор: Nikhil Pal
Название: Advanced Techniques in Knowledge Discovery and Data Mining
ISBN: 1447157524 ISBN-13(EAN): 9781447157526
Издательство: Springer
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Цена: 19564.00 р.
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Описание: Clear and concise explanations to understand the learning paradigms. Chapters written by leading world experts.

Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques

Автор: Evangelos Triantaphyllou; Giovanni Felici
Название: Data Mining and Knowledge Discovery Approaches Based on Rule Induction Techniques
ISBN: 1441941738 ISBN-13(EAN): 9781441941732
Издательство: Springer
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Цена: 33401.00 р.
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Описание: This book outlines the core theory and practice of data mining and knowledge discovery (DM & KD) examining theoretical foundations for various methods, and presenting an array of examples, many drawn from real-life applications.

Multimedia Data Mining and Knowledge Discovery

Автор: Valery A. Petrushin; Latifur Khan
Название: Multimedia Data Mining and Knowledge Discovery
ISBN: 1447160134 ISBN-13(EAN): 9781447160137
Издательство: Springer
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Цена: 21661.00 р.
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Описание: This volume provides an overview of multimedia data mining and knowledge discovery and discusses the variety of hot topics in multimedia data mining research. It describes the objectives and current tendencies in multimedia data mining research and their applications.

Interactive Knowledge Discovery and Data Mining in Biomedical Informatics

Автор: Andreas Holzinger; Igor Jurisica
Название: Interactive Knowledge Discovery and Data Mining in Biomedical Informatics
ISBN: 3662439670 ISBN-13(EAN): 9783662439678
Издательство: Springer
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Цена: 7826.00 р.
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Описание: Knowledge Discovery and Data Mining in Biomedical Informatics: The Future Is in Integrative, Interactive Machine Learning Solutions.- Visual Data Mining: Effective Exploration of the Biological Universe.- Darwin or Lamarck? Future Challenges in Evolutionary Algorithms for Knowledge Discovery and Data Mining.- On the Generation of Point Cloud Data Sets: Step One in the Knowledge Discovery Process.- Adapted Features and Instance Selection for Improving Co-training.- Knowledge Discovery and Visualization of Clusters for Erythromycin Related Adverse Events in the FDA Drug Adverse Event Reporting System.- On Computationally-Enhanced Visual Analysis of Heterogeneous Data and Its Application in Biomedical Informatics.- A Policy-Based Cleansing and Integration Framework for Labour and Healthcare Data.- Interactive Data Exploration Using Pattern Mining.- Resources for Studying Statistical Analysis of Biomedical Data and R.- A Kernel-Based Framework for Medical Big-Data Analytics.- On Entropy-Based Data Mining.- Sparse Inverse Covariance Estimation for Graph Representation of Feature Structure.- Multi-touch Graph-Based Interaction for Knowledge Discovery on Mobile Devices: State-of-the-Art and Future Challenges.- Intelligent Integrative Knowledge Bases: Bridging Genomics, Integrative Biology and Translational Medicine.- Biomedical Text Mining: State-of-the-Art, Open Problems and Future Challenges.- Protecting Anonymity in Data-Driven Biomedical Science.- Biobanks - A Source of Large Biological Data Sets: Open Problems and Future Challenges.- On Topological Data Mining.


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