Machine Learning and Knowledge Discovery in Databases, Amini

Автор: Babo Rosalina, Dey Nilanjan, Ashour Amira S.
Название: Workgroups Eassessment: Planning, Implementing and Analysing Frameworks
ISBN: 9811599076 ISBN-13(EAN): 9789811599071
Издательство: Springer
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Цена: 139750.00 T
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Описание: This book was developed during a particular pandemic situation in the whole world which confined people to their homes. This book provides a better understanding about the importance of teams` assessment and collaborative work, as well as the use of collaboration tools and online assessment techniques supported by technology.

Автор: Leite Diego Azevedo
Название: The Twenty-First Century Mechanistic Theory of Human Cognition: A Critical Analysis
ISBN: 3030636798 ISBN-13(EAN): 9783030636791
Издательство: Springer
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Цена: 130430.00 T
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Описание: This book presents a theoretical critical appraisal of the Mechanistic Theory of Human Cognition (MTHC), which is one of the most popular major theories in the contemporary field of cognitive science.

Автор: Wray Buntine; Marko Grobelnik; Dunja Mladenic; Joh
Название: Machine Learning and Knowledge Discovery in Databases
ISBN: 3642041795 ISBN-13(EAN): 9783642041792
Издательство: Springer
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Цена: 121110.00 T
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Описание: This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2009, held in Bled, Slovenia, in September 2009.

Автор: Wray Buntine; Marko Grobelnik; Dunja Mladenic; Joh
Название: Machine Learning and Knowledge Discovery in Databases
ISBN: 3642041736 ISBN-13(EAN): 9783642041730
Издательство: Springer
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Цена: 121110.00 T
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Описание: This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2009, held in Bled, Slovenia, in September 2009.

Автор: Altun
Название: Machine Learning and Knowledge Discovery in Databases
ISBN: 3319712721 ISBN-13(EAN): 9783319712727
Издательство: Springer
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Цена: 46570.00 T
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Описание: The three volume proceedings LNAI 10534 - 10536 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2017, held in Skopje, Macedonia, in September 2017. unsupervised and semisupervised learning. Part III: applied data science track;

Автор: Dong Guozhu
Название: Exploiting the Power of Group Differences: Using Patterns to Solve Data Analysis Problems
ISBN: 1681735024 ISBN-13(EAN): 9781681735023
Издательство: Mare Nostrum (Eurospan)
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Цена: 57290.00 T
Наличие на складе: Невозможна поставка.
Описание: This book presents pattern-based problem-solving methods for a variety of machine learning and data analysis problems. The methods are all based on techniques that exploit the power of group differences. They make use of group differences represented using emerging patterns (aka contrast patterns), which are patterns that match significantly different numbers of instances in different data groups. A large number of applications outside of the computing discipline are also included. Emerging patterns (EPs) are useful in many ways. EPs can be used as features, as simple classifiers, as subpopulation signatures/characterizations, and as triggering conditions for alerts. EPs can be used in gene ranking for complex diseases since they capture multi-factor interactions. The length of EPs can be used to detect anomalies, outliers, and novelties. Emerging/contrast pattern based methods for clustering analysis and outlier detection do not need distance metrics, avoiding pitfalls of the latter in exploratory analysis of high dimensional data. EP-based classifiers can achieve good accuracy even when the training datasets are tiny, making them useful for exploratory compound selection in drug design. EPs can serve as opportunities in opportunity-focused boosting and are useful for constructing powerful conditional ensembles. EP-based methods often produce interpretable models and results. In general, EPs are useful for classification, clustering, outlier detection, gene ranking for complex diseases, prediction model analysis and improvement, and so on. EPs are useful for many tasks because they represent group differences, which have extraordinary power. Moreover, EPs represent multi-factor interactions, whose effective handling is of vital importance and is a major challenge in many disciplines. Based on the results presented in this book, one can clearly say that patterns are useful, especially when they are linked to issues of interest. We believe that many effective ways to exploit group differences' power still remain to be discovered. Hopefully this book will inspire readers to discover such new ways, besides showing them existing ways, to solve various challenging problems.

Автор: Michele Berlingerio; Francesco Bonchi; Thomas G?rt
Название: Machine Learning and Knowledge Discovery in Databases
ISBN: 3030109275 ISBN-13(EAN): 9783030109271
Издательство: Springer
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Цена: 93160.00 T
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Описание: The three volume proceedings LNAI 11051 - 11053 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2018, held in Dublin, Ireland, in September 2018. Part III: ADS data science applications;

Автор: Ulf Brefeld; Edward Curry; Elizabeth Daly; Brian M
Название: Machine Learning and Knowledge Discovery in Databases
ISBN: 3030109968 ISBN-13(EAN): 9783030109967
Издательство: Springer
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Цена: 46570.00 T
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Описание: The three volume proceedings LNAI 11051 - 11053 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2018, held in Dublin, Ireland, in September 2018. and transfer learning. Part III: ADS data science applications;

Автор: Brefeld Ulf, Fromont Elisa, Hotho Andreas
Название: Machine Learning and Knowledge Discovery in Databases: European Conference, Ecml Pkdd 2019, Wьrzburg, Germany, September 16-20, 2019, Proceedings, Par
ISBN: 3030461491 ISBN-13(EAN): 9783030461492
Издательство: Springer
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Цена: 91300.00 T
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Описание: The three volume proceedings LNAI 11906 - 11908 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2019, held in Wurzburg, Germany, in September 2019.The total of 130 regular papers presented in these volumes was carefully reviewed and selected from 733 submissions;

Автор: Koprinska Irena, Kamp Michael, Appice Annalisa
Название: Ecml Pkdd 2020 Workshops: Workshops of the European Conference on Machine Learning and Knowledge Discovery in Databases (Ecml Pkdd 2020): Sogood
ISBN: 303065964X ISBN-13(EAN): 9783030659646
Издательство: Springer
Цена: 83850.00 T
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Описание: Fifth Workshop on Data Science for Social Good (SoGood 2020).- Workshop on Parallel, Distributed and Federated Learning (PDFL 2020).- Second Workshop on Machine Learning for Cybersecurity (MLCS 2020).- Ninth International Workshop on New Frontiers in Mining Complex Patterns (NFMCP 2020).- Workshop on Data Integration and Applications (DINA 2020).- Second Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning (EDML 2020).- Second International Workshop on eXplainable Knowledge Discovery in Data Mining (XKDD 2020).- Eighth International Workshop on News Recommendation and Analytics (INRA 2020).

Автор: Brefeld Ulf, Fromont Elisa, Hotho Andreas
Название: Machine Learning and Knowledge Discovery in Databases: European Conference, Ecml Pkdd 2019, Wьrzburg, Germany, September 16-20, 2019, Proceedings, Par
ISBN: 3030461327 ISBN-13(EAN): 9783030461324
Издательство: Springer
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Цена: 46570.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The three volume proceedings LNAI 11906 - 11908 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2019, held in Wurzburg, Germany, in September 2019.The total of 130 regular papers presented in these volumes was carefully reviewed and selected from 733 submissions;

Автор: Brefeld Ulf, Fromont Elisa, Hotho Andreas
Название: Machine Learning and Knowledge Discovery in Databases: European Conference, Ecml Pkdd 2019, Wьrzburg, Germany, September 16-20, 2019, Proceedings, Par
ISBN: 3030461467 ISBN-13(EAN): 9783030461461
Издательство: Springer
Рейтинг:
Цена: 91300.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The three volume proceedings LNAI 11906 - 11908 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2019, held in Wurzburg, Germany, in September 2019.The total of 130 regular papers presented in these volumes was carefully reviewed and selected from 733 submissions;