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The Discovery of the Artificial, R. Cordeschi


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Автор: R. Cordeschi
Название:  The Discovery of the Artificial
ISBN: 9789048160150
Издательство: Springer
Классификация:


ISBN-10: 9048160154
Обложка/Формат: Paperback
Страницы: 314
Вес: 0.48 кг.
Дата издания: 15.12.2010
Серия: Studies in Cognitive Systems
Язык: English
Размер: 156 x 233 x 23
Основная тема: Philosophy
Подзаголовок: Behavior, Mind and Machines Before and Beyond Cybernetics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This series will include monographs and collections of studies devoted to the investigation and exploration of knowledge, information, and data processing systems of all kinds, no matter whether human, (other) animal, or machine.

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).

We, the Robots?: Regulating Artificial Intelligence and the Limits of the Law

Автор: Chesterman Simon
Название: We, the Robots?: Regulating Artificial Intelligence and the Limits of the Law
ISBN: 1316517683 ISBN-13(EAN): 9781316517680
Издательство: Cambridge Academ
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Цена: 38010.00 T
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Описание: Should we regulate artificial intelligence? Can we? From self-driving cars and high-speed trading to algorithmic decision-making, the way we live, work, and play is increasingly dependent on AI systems. This book examines how our laws are dealing with AI, as well as what additional rules and institutions are needed.

Advances in Knowledge Discovery and Data Mining

Автор: Jinho Kim; Kyuseok Shim; Longbing Cao; Jae-Gil Lee
Название: Advances in Knowledge Discovery and Data Mining
ISBN: 3319574531 ISBN-13(EAN): 9783319574530
Издательство: Springer
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Цена: 102480.00 T
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Описание: This two-volume set, LNAI 10234 and 10235, constitutes the thoroughly refereed proceedings of the 21st Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2017, held in Jeju, South Korea, in May 2017. spatio-temporal and sequential data mining; dynamic, stream data mining; behavioral data mining;

Advances in Knowledge Discovery and Data Mining

Автор: Jinho Kim; Kyuseok Shim; Longbing Cao; Jae-Gil Lee
Название: Advances in Knowledge Discovery and Data Mining
ISBN: 3319575287 ISBN-13(EAN): 9783319575285
Издательство: Springer
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Цена: 102480.00 T
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Описание: This two-volume set, LNAI 10234 and 10235, constitutes the thoroughly refereed proceedings of the 21st Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2017, held in Jeju, South Korea, in May 2017. spatio-temporal and sequential data mining; dynamic, stream data mining; behavioral data mining;

Discovery Science

Автор: Calders
Название: Discovery Science
ISBN: 3319463063 ISBN-13(EAN): 9783319463063
Издательство: Springer
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Цена: 68950.00 T
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Описание: This book constitutes the proceedings of the 17th International Conference on Discovery Science, DS 2016, held in banff, AB, Canada in October 2015. The 30 full papers presented together with 5 abstracts of invited talks in this volume were carefully reviewed and selected from 60 submissions.

The conference focuses on following topics: Advances in the development and analysis of methods for discovering scienti?c knowledge, coming from machine learning, data mining, and intelligent data analysis, as well as their application in various scienti?c domains.

Discovery Science

Автор: Akihiro Yamamoto; Takuya Kida; Takeaki Uno; Tetsuj
Название: Discovery Science
ISBN: 3319677853 ISBN-13(EAN): 9783319677859
Издательство: Springer
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Цена: 60550.00 T
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Описание: This book constitutes the proceedings of the 20th International Conference on Discovery Science, DS 2017, held in Kyoto, Japan, in October 2017, co-located with the International Conference on Algorithmic Learning Theory, ALT 2017.

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: 3319066048 ISBN-13(EAN): 9783319066042
Издательство: Springer
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Цена: 97820.00 T
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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.

Principles of Data Mining and Knowledge Discovery

Автор: Jan Zytkow; Jan Rauch
Название: Principles of Data Mining and Knowledge Discovery
ISBN: 3540664904 ISBN-13(EAN): 9783540664901
Издательство: Springer
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Цена: 97820.00 T
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Описание: This book constitutes the refereed proceedings of the Third European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD`99, held in Prague, Czech Republic in September 1999.The 28 revised full papers and 48 poster presentations were carefully reviewed and selected from 106 full papers submitted.

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: 97820.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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: Cao
Название: Trends and Applications in Knowledge Discovery and Data Mining
ISBN: 3319429957 ISBN-13(EAN): 9783319429953
Издательство: Springer
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Цена: 46590.00 T
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Описание: This book constitutes the thoroughly refereed post-workshop proceedings at PAKDD Workshops 2016, held in conjunction with PAKDD, the 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining in Auckland, New Zealand, in April 2016. The 23 revised papers presented were carefully reviewed and selected from 38 submissions.

Discovery Science

Автор: Nathalie Japkowicz; Stan Matwin
Название: Discovery Science
ISBN: 3319242814 ISBN-13(EAN): 9783319242811
Издательство: Springer
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Цена: 52170.00 T
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Описание:

Bilinear Prediction using Low Rank Models.- Finding Hidden Structure in Data with Tensor Decompositions.- Turning Prediction Tools Into Decision Tools.- Overcoming obstacles to the adoption of machine learning by domain Experts.- Resolution transfer in cancer classification based on amplification patterns.- Very Short-Term Wind Speed Forecasting using Spatio-Temporal Lazy Learning.- Discovery of Parameters for Animation of Midge Swarms.- No Sentiment is an Island: Author's activity and sentiments transactions in sentiment classification.- Active Learning for Classifying Template Matches in Historical Maps.- An evaluation of score descriptors combined with non-linear models of expressive dynamics in music.- Geo-Coordinated Parallel Coordinates (GCPC): A Case Study of Environmental Data Analysis.- Generalized Shortest Path Kernel on Graphs.- Ensembles of extremely randomized trees for multi-target regression.- Clustering-Based Optimised Probabilistic Active Learning (COPAL).- Predictive Analysis on Tracking Emails for Targeted Marketing.- Semi-supervised Learning for Stream Recommender Systems.- Detecting Transmembrane Proteins Using Decision Trees.- Change point detection for information diffusion tree.- Multi-label Classification via Multi-target Regression on Data Streams.- Periodical Skeletonization for Partially Periodic Pattern Mining.- Predicting Drugs Adverse Side-Effects using a recommender-system.- Dr. Inventor Framework: extracting structured information from scientific publications.- Predicting Protein Function and Protein-Ligand Interaction with the 3D Neighborhood Kernel.- Hierarchical Multidimensional Classification of web documents with MultiWebClass.- Evaluating the Effectiveness of Hashtags as Predictors of the Sentiment of Tweets.- On the Feasibility of Discovering Meta-Patterns from a Data Ensemble.- An Algorithm for Influence Maximization in a Two-Terminal Series.- Parallel Graph and Its Application to a Real Network.- Benchmarking Stream Clustering for Churn Detection in Dynamic Networks .- Canonical Correlation Methods for Exploring Microbe-Environment Interactions in Deep Subsurface.- KeCo: Kernel-based Online Co-agreement Algorithm.- Tree PCA for Extracting Dominant Substructures from Labeled Rooted Trees.- Enumerating Maximal Clique Sets with Pseudo-Clique Constraint.


Principles of Data Mining and Knowledge Discovery

Автор: Tapio Elomaa; Heikki Mannila; Hannu Toivonen
Название: Principles of Data Mining and Knowledge Discovery
ISBN: 3540440372 ISBN-13(EAN): 9783540440376
Издательство: Springer
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Цена: 74530.00 T
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Описание: Constitutes the proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery held in Finland in 2002. Papers cover kernel methods, probabilistic methods, association rule mining, rough sets, sampling algorithms, pattern discovery, web text mining and more.


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