Shadow Algorithms Data Miner
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Shadow Algorithms Data Miner
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Author : Andrew Woo
language : en
Publisher: CRC Press
Release Date : 2012-06-12
Shadow Algorithms Data Miner written by Andrew Woo and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-06-12 with Computers categories.
Shadow Algorithms Data Miner provides a high-level understanding of the complete set of shadow concepts and algorithms, addressing their usefulness from a larger graphics system perspective. It discusses the applicability and limitations of all the direct illumination approaches for shadow generation. With an emphasis on shadow fundamentals, the book gives an organized picture of the motivations, complexities, and categorized algorithms available to generate digital shadows. It helps readers select the most relevant algorithms for their needs by placing the shadow algorithms in real-world contexts and looking at them from a larger graphics system perspective. As a result, readers know where to start for their application needs, which algorithms to begin considering, and which papers and supplemental material should be consulted for further details.
Real Time Rendering Fourth Edition
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Author : Tomas Akenine-Möller
language : en
Publisher: CRC Press
Release Date : 2018-08-06
Real Time Rendering Fourth Edition written by Tomas Akenine-Möller and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-06 with Computers categories.
Thoroughly updated, this fourth edition focuses on modern techniques used to generate synthetic three-dimensional images in a fraction of a second. With the advent of programmable shaders, a wide variety of new algorithms have arisen and evolved over the past few years. This edition discusses current, practical rendering methods used in games and other applications. It also presents a solid theoretical framework and relevant mathematics for the field of interactive computer graphics, all in an approachable style. New to this edition: new chapter on VR and AR as well as expanded coverage of Visual Appearance, Advanced Shading, Global Illumination, and Curves and Curved Surfaces.
Cyberarts 2020
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Author : Christine Leopoldseder
language : en
Publisher: Hatje Cantz Verlag
Release Date : 2020-01-01
Cyberarts 2020 written by Christine Leopoldseder and has been published by Hatje Cantz Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-01 with Art categories.
Der Prix Ars Electronica ist der traditionsreichste Medienkunstwettbewerb der Welt. Seit 1987 alljährlich ausgeschrieben, gilt er wegen seiner Kontinuität, der hohen Anzahl sowie Qualität der Einreichungen als Trendbarometer der weltweiten Medienkunst. Mit vielen Bildern, Texten und Statements der Jury bündelt das Buch jene Arbeiten, die 2020 in den Kategorien Computer Animation, Digital Musics & Sound Art, Artificial Intelligence & Life Art und u19 – Create Your World ausgezeichnet wurden. Ebenfalls im Buch enthalten ist wieder ein Best-of des im Auftrag der Europäischen Kommission ausgeschriebenen STARTS-Prize. Im Fokus dieses hoch dotierten Wettbewerbs standen innovative Projekte an der Schnittstelle von Wissenschaft, Technologie und Kunst (= Science, Technology and ARTS).
The Top Ten Algorithms In Data Mining
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Author : Xindong Wu
language : en
Publisher: CRC Press
Release Date : 2009-04-09
The Top Ten Algorithms In Data Mining written by Xindong Wu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-04-09 with Business & Economics categories.
Identifying some of the most influential algorithms that are widely used in the data mining community, The Top Ten Algorithms in Data Mining provides a description of each algorithm, discusses its impact, and reviews current and future research. Thoroughly evaluated by independent reviewers, each chapter focuses on a particular algorithm and is wri
Privacy Preserving Data Mining
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Author : Charu C. Aggarwal
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-06-10
Privacy Preserving Data Mining written by Charu C. Aggarwal and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-06-10 with Computers categories.
Advances in hardware technology have increased the capability to store and record personal data. This has caused concerns that personal data may be abused. This book proposes a number of techniques to perform the data mining tasks in a privacy-preserving way. This edited volume contains surveys by distinguished researchers in the privacy field. Each survey includes the key research content as well as future research directions of a particular topic in privacy. The book is designed for researchers, professors, and advanced-level students in computer science, but is also suitable for practitioners in industry.
Transparent Data Mining For Big And Small Data
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Author : Tania Cerquitelli
language : en
Publisher: Springer
Release Date : 2017-05-09
Transparent Data Mining For Big And Small Data written by Tania Cerquitelli and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-09 with Computers categories.
This book focuses on new and emerging data mining solutions that offer a greater level of transparency than existing solutions. Transparent data mining solutions with desirable properties (e.g. effective, fully automatic, scalable) are covered in the book. Experimental findings of transparent solutions are tailored to different domain experts, and experimental metrics for evaluating algorithmic transparency are presented. The book also discusses societal effects of black box vs. transparent approaches to data mining, as well as real-world use cases for these approaches.As algorithms increasingly support different aspects of modern life, a greater level of transparency is sorely needed, not least because discrimination and biases have to be avoided. With contributions from domain experts, this book provides an overview of an emerging area of data mining that has profound societal consequences, and provides the technical background to for readers to contribute to the field or to put existing approaches to practical use.
Contrast Data Mining
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Author : Guozhu Dong
language : en
Publisher: CRC Press
Release Date : 2016-04-19
Contrast Data Mining written by Guozhu Dong and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-19 with Business & Economics categories.
A Fruitful Field for Researching Data Mining Methodology and for Solving Real-Life ProblemsContrast Data Mining: Concepts, Algorithms, and Applications collects recent results from this specialized area of data mining that have previously been scattered in the literature, making them more accessible to researchers and developers in data mining and
High Performance Data Mining
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Author : Yike Guo
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-05-08
High Performance Data Mining written by Yike Guo and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-05-08 with Computers categories.
High Performance Data Mining: Scaling Algorithms, Applications and Systems brings together in one place important contributions and up-to-date research results in this fast moving area. High Performance Data Mining: Scaling Algorithms, Applications and Systems serves as an excellent reference, providing insight into some of the most challenging research issues in the field.
Large Scale Parallel Data Mining
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Author : Mohammed J. Zaki
language : en
Publisher: Springer
Release Date : 2003-07-31
Large Scale Parallel Data Mining written by Mohammed J. Zaki and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-07-31 with Computers categories.
With the unprecedented growth-rate at which data is being collected and stored electronically today in almost all fields of human endeavor, the efficient extraction of useful information from the data available is becoming an increasing scientific challenge and a massive economic need. This book presents thoroughly reviewed and revised full versions of papers presented at a workshop on the topic held during KDD'99 in San Diego, California, USA in August 1999 complemented by several invited chapters and a detailed introductory survey in order to provide complete coverage of the relevant issues. The contributions presented cover all major tasks in data mining including parallel and distributed mining frameworks, associations, sequences, clustering, and classification. All in all, the volume presents the state of the art in the young and dynamic field of parallel and distributed data mining methods. It will be a valuable source of reference for researchers and professionals.
Randomized Algorithms In Automatic Control And Data Mining
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Author : Oleg Granichin
language : en
Publisher: Springer
Release Date : 2014-07-14
Randomized Algorithms In Automatic Control And Data Mining written by Oleg Granichin and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-14 with Technology & Engineering categories.
In the fields of data mining and control, the huge amount of unstructured data and the presence of uncertainty in system descriptions have always been critical issues. The book Randomized Algorithms in Automatic Control and Data Mining introduces the readers to the fundamentals of randomized algorithm applications in data mining (especially clustering) and in automatic control synthesis. The methods proposed in this book guarantee that the computational complexity of classical algorithms and the conservativeness of standard robust control techniques will be reduced. It is shown that when a problem requires "brute force" in selecting among options, algorithms based on random selection of alternatives offer good results with certain probability for a restricted time and significantly reduce the volume of operations.