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Interactive Knowledge Discovery and Data Mining in Biomedical Informatics, Andreas Holzinger; Igor Jurisica


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Автор: Andreas Holzinger; Igor Jurisica
Название:  Interactive Knowledge Discovery and Data Mining in Biomedical Informatics
ISBN: 9783662439678
Издательство: Springer
Классификация:


ISBN-10: 3662439670
Обложка/Формат: Paperback
Страницы: 357
Вес: 0.53 кг.
Дата издания: 26.06.2014
Серия: Information Systems and Applications, incl. Internet/Web, and HCI
Язык: English
Размер: 234 x 156 x 20
Основная тема: Computer Science
Подзаголовок: State-of-the-Art and Future Challenges
Ссылка на Издательство: Link
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Поставляется из: Германии
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.

Data Mining and Knowledge Discovery for Geoscientists

Автор: Guangren Shi
Название: Data Mining and Knowledge Discovery for Geoscientists
ISBN: 0124104371 ISBN-13(EAN): 9780124104372
Издательство: Elsevier Science
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Цена: 101060.00 T
Наличие на складе: Поставка под заказ.
Описание: Addresses challenges by summarizing the developments in geosciences data mining and arming scientists with the ability to apply key concepts to effectively analyze and interpret vast amounts of critical information. This title focuses on 22 of data mining`s practical algorithms and application samples.

Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery

Автор: Walter W. Piegorsch
Название: Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery
ISBN: 111903065X ISBN-13(EAN): 9781119030652
Издательство: Wiley
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Цена: 17900.00 T
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Описание: Solutions Manual to accompany Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery A comprehensive introduction to statistical methods for data mining and knowledge discovery.

Foundations of Data Mining and Knowledge Discovery

Автор: Tsau Young Lin; Setsuo Ohsuga; Churn-Jung Liau; Xi
Название: Foundations of Data Mining and Knowledge Discovery
ISBN: 364243228X ISBN-13(EAN): 9783642432286
Издательство: Springer
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Цена: 181670.00 T
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Описание: "Foundations of Data Mining and Knowledge Discovery" contains the latest results and new directions in data mining research.

Foundations of Data Mining and Knowledge Discovery

Автор: Tsau Young Lin; Setsuo Ohsuga; Churn-Jung Liau; Xi
Название: Foundations of Data Mining and Knowledge Discovery
ISBN: 3540262571 ISBN-13(EAN): 9783540262572
Издательство: Springer
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Цена: 181670.00 T
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Описание: "Foundations of Data Mining and Knowledge Discovery" contains the latest results and new directions in data mining research.

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: 222670.00 T
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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.

Advances in Knowledge Discovery and Data Mining

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.

Data Mining and Knowledge Discovery via Logic-Based Methods

Автор: Evangelos Triantaphyllou
Название: Data Mining and Knowledge Discovery via Logic-Based Methods
ISBN: 1461426138 ISBN-13(EAN): 9781461426134
Издательство: Springer
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Цена: 153720.00 T
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Описание: This book uses a novel method to study a series of interconnected key data mining and knowledge discovery problems in depth and in a way that stimulates the quest for more knowledge. It also presents a collection of examples, many from real-life applications.

Improving Knowledge Discovery Through The Integration Of Data Mining Techniques

Автор: Usman
Название: Improving Knowledge Discovery Through The Integration Of Data Mining Techniques
ISBN: 1466685131 ISBN-13(EAN): 9781466685130
Издательство: Mare Nostrum (Eurospan)
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Цена: 218990.00 T
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Описание: Data warehousing is an important topic that is of interest to both the industry and the knowledge engineering research communities. Both data mining and data warehousing technologies have similar objectives and can potentially benefit from each other’s methods to facilitate knowledge discovery.Improving Knowledge Discovery through the Integration of Data Mining Techniques provides insight concerning the integration of data mining and data warehousing for enhancing the knowledge discovery process. Decision makers, academicians, researchers, advanced-level students, technology developers, and business intelligence professionals will find this book useful in furthering their research exposure to relevant topics in knowledge discovery.

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: 257790.00 T
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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.

Data Mining and Knowledge Discovery via Logic-Based Methods

Автор: Evangelos Triantaphyllou
Название: Data Mining and Knowledge Discovery via Logic-Based Methods
ISBN: 1441916296 ISBN-13(EAN): 9781441916297
Издательство: Springer
Рейтинг:
Цена: 153720.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book uses a novel method to study a series of interconnected key data mining and knowledge discovery problems in depth and in a way that stimulates the quest for more knowledge. It also presents a collection of examples, many from real-life applications.

Data Mining and Knowledge Discovery for Big Data

Автор: Chu Wesley W.
Название: Data Mining and Knowledge Discovery for Big Data
ISBN: 3642408362 ISBN-13(EAN): 9783642408366
Издательство: Springer
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Цена: 139310.00 T
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Описание: This book address topics ranging from mining data from opinion, spatiotemporal databases, discriminative subgraph patterns, path knowledge discovery, social media, and privacy issues to the subject of computation reduction via binary matrix factorization.

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: 51230.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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).


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