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Computer Science – CACIC 2021

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Computer Science – CACIC 2021

Computer Science – CACIC 2021: 27th Argentine Congress, CACIC 2021, Salta, Argentina, October 4–8, 2021, Revised Selected Papers by Patricia Pesado
English | PDF | 2022 | 321 Pages | ISBN : 3031059026 | 27.1 MB

This book constitutes revised selected papers from the 27th Argentine Congress on Computer Science, CACIC 2021, held in Salta, Argentina in October 2021. Due to the COVID-19 pandemic the conference was held in a virtual mode.

Computational Intelligence in Data Mining: Proceedings of ICCIDM 2021

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Computational Intelligence in Data Mining: Proceedings of ICCIDM 2021

Computational Intelligence in Data Mining: Proceedings of ICCIDM 2021 by Janmenjoy Nayak
English | PDF | 2022 | 757 Pages | ISBN : 981169446X | 23 MB

This book addresses different methods and techniques of integration for enhancing the overall goal of data mining. The book is a collection of high-quality peer-reviewed research papers presented in the Sixth International Conference on Computational Intelligence in Data Mining (ICCIDM 2021) held at Aditya Institute of Technology and Management, Tekkali, Andhra Pradesh, India, during December 11–12, 2021.

Business Intelligence

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Business Intelligence

Business Intelligence: 6th International Conference, CBI 2021, Beni Mellal, Morocco, May 27–29, 2021, Proceedings by Mohamed Fakir
English | PDF | 2022 | 446 Pages | ISBN : 3030765075 | 46.3 MB

This book constitutes the proceedings of the 6th International Conference on Business Intelligence, CBI 2021, which took place in Beni Mellal, Morocco, during May 27-29, 2021.
The 26 full and 6 poster papers included in this book were carefully reviewed and selected from a total of 60 submissions. They were organized in topical sections as follows: decision support, information systems and NLP; big data, datamining, Web services and Web semantics; optimization and decision support; signal, image and vision computing; networking, cloud computing and networking architectures in cloud.

Recent Challenges in Intelligent Information and Database Systems

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Recent Challenges in Intelligent Information and Database Systems

Recent Challenges in Intelligent Information and Database Systems: 13th Asian Conference, ACIIDS 2021, Phuket, Thailand, April 7–10, 2021, Proceedings by Tzung-Pei Hong
English | PDF | 2022 | 458 Pages | ISBN : 9811616841 | 48.4 MB

This volume constitutes the refereed proceedings of the 13th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2021, held in Phuket, Thailand, in April 2021.
The total of 35 full papers accepted for publication in these proceedings were carefully reviewed and selected from 291 submissions. The papers are organized in the following topical sections: ​​data mining and machine learning methods; advanced data mining techniques and applications; intelligent and contextual systems; natural language processing; network systems and applications; computational imaging and vision; decision support and control systems; data modelling and processing for Industry 4.0.

Smart Systems: Innovations in Computing: Proceedings of SSIC 2021

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Smart Systems: Innovations in Computing: Proceedings of SSIC 2021

Smart Systems: Innovations in Computing: Proceedings of SSIC 2021 by Arun K. Somani
English | EPUB | 2022 | 645 Pages | ISBN : 9811628769 | 87.5 MB

This book features original papers from the 3rd International Conference on Smart IoT Systems: Innovations and Computing (SSIC 2021), presenting scientific work related to smart solution concepts. It discusses scientific works related to smart solutions concept in the context of computational collective intelligence consisted of interaction between smart devices for smart environments and interactions. Thanks to the high-quality content and the broad range of the topics covered, the book appeals to researchers pursuing advanced studies.

Advances in Decision Science and Management

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Advances in Decision Science and Management

Advances in Decision Science and Management: Proceedings of Third International Conference on Decision Science and Management (ICDSM 2021) by Taosheng Wang
English | EPUB | 2022 | 694 Pages | ISBN : 9811625018 | 34.3 MB

This book discusses an emerging area in computer science, IT, and management, i.e., decision sciences and management. It includes studies that employ various computing techniques like machine learning to generate insights from huge amounts of available data; and which explore decision making for cross-platforms that contain heterogeneous data associated with complex assets; leadership; and team coordination.

Data Mining and Knowledge Discovery Handbook

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Data Mining and Knowledge Discovery Handbook

Data Mining and Knowledge Discovery Handbook by Oded Maimon
English | PDF | 2010 | 1269 Pages | ISBN : 0387098224 | 18.5 MB

Knowledge Discovery demonstrates intelligent computing at its best, and is the most desirable and interesting end-product of Information Technology. To be able to discover and to extract knowledge from data is a task that many researchers and practitioners are endeavoring to accomplish. There is a lot of hidden knowledge waiting to be discovered – this is the challenge created by today’s abundance of data.

Introduction to Artificial Intelligence

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Introduction to Artificial Intelligence

Introduction to Artificial Intelligence by Mariusz Flasiński
English | PDF(True) | 2016 | 316 Pages | ISBN : 3319400207 | 5.6 MB

In the chapters in Part I of this textbook the author introduces the fundamental ideas of artificial intelligence and computational intelligence. In Part II he explains key AI methods such as search, evolutionary computing, logic-based reasoning, knowledge representation, rule-based systems, pattern recognition, neural networks, and cognitive architectures. Finally, in Part III, he expands the context to discuss theories of intelligence in philosophy and psychology, key applications of AI systems, and the likely future of artificial intelligence. A key feature of the author's approach is historical and biographical footnotes, stressing the multidisciplinary character of the field and its pioneers.

Predictive Analytics with Microsoft Azure Machine Learning, Second Edition

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Predictive Analytics with Microsoft Azure Machine Learning, Second Edition

Predictive Analytics with Microsoft Azure Machine Learning, Second Edition by Roger Barga
English | PDF | 2015 | 303 Pages | ISBN : 1484212010 | 18.7 MB

Predictive Analytics with Microsoft Azure Machine Learning, Second Edition is a practical tutorial introduction to the field of data science and machine learning, with a focus on building and deploying predictive models. The book provides a thorough overview of the Microsoft Azure Machine Learning service released for general availability on February 18th, 2015 with practical guidance for building recommenders, propensity models, and churn and predictive maintenance models.

Data Analytics: Models and Algorithms for Intelligent Data Analysis

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Data Analytics: Models and Algorithms for Intelligent Data Analysis

Data Analytics: Models and Algorithms for Intelligent Data Analysis, Second Edition By Thomas A. Runkler
English | PFF(True) | 2016 | 150 Pages | ISBN : 3658140747 | 4.9 MB

This book is a comprehensive introduction to the methods and algorithms of modern data analytics. It provides a sound mathematical basis, discusses advantages and drawbacks of different approaches, and enables the reader to design and implement data analytics solutions for real-world applications. This book has been used for more than ten years in the Data Mining course at the Technical University of Munich. Much of the content is based on the results of industrial research and development projects at Siemens.

Big and Complex Data Analysis: Methodologies and Applications

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Big and Complex Data Analysis: Methodologies and Applications

Big and Complex Data Analysis: Methodologies and Applications By S. Ejaz Ahmed
English | PDF | 2017 | 386 Pages | ISBN : 3319415727 | 11.6 MB

This volume conveys some of the surprises, puzzles and success stories in high-dimensional and complex data analysis and related fields. Its peer-reviewed contributions showcase recent advances in variable selection, estimation and prediction strategies for a host of useful models, as well as essential new developments in the field.

Bioinformatics and Biomedical Engineering

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Bioinformatics and Biomedical Engineering

Bioinformatics and Biomedical Engineering: 6th International Work-Conference, IWBBIO 2018, Granada, Spain, April 25–27, 2018, Proceedings, Part II byIgnacio Rojas
English | PDF | 2018 | 495 Pages | ISBN : 3319787586 | 48.1 MB

This two volume set LNBI 10813 and LNBI 10814 constitutes the proceedings of the 6th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2018, held in Granada, Spain, in April 2018.

Relational Data Mining

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Relational Data Mining

Relational Data Mining by Sašo Džeroski
English | PDF | 2001 | 410 Pages | ISBN : 3540422897 | 41.1 MB

As the first book devoted to relational data mining, this coherently written multi-author monograph provides a thorough introduction and systematic overview of the area.

Mobility, Data Mining and Privacy: Geographic Knowledge Discovery

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Mobility, Data Mining and Privacy: Geographic Knowledge Discovery

Mobility, Data Mining and Privacy: Geographic Knowledge Discovery by Fosca Giannotti
English | PDF | 2008 | 415 Pages | ISBN : 3540751769 | 4.2 MB

The technologies of mobile communications and ubiquitous computing pervade our society, and wireless networks sense the movement of people and vehicles, generating large volumes of mobility data. This is a scenario of great opportunities and risks: on one side, mining this data can produce useful knowledge, supporting sustainable mobility and intelligent transportation systems; on the other side, individual privacy is at risk, as the mobility data contain sensitive personal information. A new multidisciplinary research area is emerging at this crossroads of mobility, data mining, and privacy.

Visual Data Mining: Theory, Techniques and Tools for Visual Analytics

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Visual Data Mining: Theory, Techniques and Tools for Visual Analytics

Visual Data Mining: Theory, Techniques and Tools for Visual Analytics by Simeon J. Simoff
English | PDF | 2008 | 417 Pages | ISBN : 3540710795 | 70 MB

The importance of visual data mining, as a strong sub-discipline of data mining, had already been recognized in the beginning of the decade. In 2005 a panel of renowned individuals met to address the shortcomings and drawbacks of the current state of visual information processing. The need for a systematic and methodological development of visual analytics was detected.