Shadow Algorithms Data Miner

Shadow Algorithms Data Miner PDF Author: Andrew Woo
Publisher: CRC Press
ISBN: 1439880239
Category : Computers
Languages : en
Pages : 267

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Book Description
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.

Shadow Algorithms Data Miner

Shadow Algorithms Data Miner PDF Author: Andrew Woo
Publisher: CRC Press
ISBN: 1439880239
Category : Computers
Languages : en
Pages : 267

Get Book

Book Description
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

Real-Time Rendering, Fourth Edition PDF Author: Tomas Akenine-Möller
Publisher: CRC Press
ISBN: 1351816152
Category : Computers
Languages : en
Pages : 1199

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Book Description
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

CyberArts 2020 PDF Author: Christine Leopoldseder
Publisher: Hatje Cantz Verlag
ISBN: 3775747613
Category : Art
Languages : en
Pages : 137

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Book Description
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

The Top Ten Algorithms in Data Mining PDF Author: Xindong Wu
Publisher: CRC Press
ISBN: 142008965X
Category : Business & Economics
Languages : en
Pages : 230

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Book Description
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

Transparent Data Mining for Big and Small Data

Transparent Data Mining for Big and Small Data PDF Author: Tania Cerquitelli
Publisher: Springer
ISBN: 3319540246
Category : Computers
Languages : en
Pages : 215

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Book Description
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.

Association Rule Hiding for Data Mining

Association Rule Hiding for Data Mining PDF Author: Aris Gkoulalas-Divanis
Publisher: Springer Science & Business Media
ISBN: 1441965696
Category : Computers
Languages : en
Pages : 159

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Book Description
Privacy and security risks arising from the application of different data mining techniques to large institutional data repositories have been solely investigated by a new research domain, the so-called privacy preserving data mining. Association rule hiding is a new technique in data mining, which studies the problem of hiding sensitive association rules from within the data. Association Rule Hiding for Data Mining addresses the problem of "hiding" sensitive association rules, and introduces a number of heuristic solutions. Exact solutions of increased time complexity that have been proposed recently are presented, as well as a number of computationally efficient (parallel) approaches that alleviate time complexity problems, along with a thorough discussion regarding closely related problems (inverse frequent item set mining, data reconstruction approaches, etc.). Unsolved problems, future directions and specific examples are provided throughout this book to help the reader study, assimilate and appreciate the important aspects of this challenging problem. Association Rule Hiding for Data Mining is designed for researchers, professors and advanced-level students in computer science studying privacy preserving data mining, association rule mining, and data mining. This book is also suitable for practitioners working in this industry.

Contrast Data Mining

Contrast Data Mining PDF Author: Guozhu Dong
Publisher: CRC Press
ISBN: 1439854335
Category : Business & Economics
Languages : en
Pages : 428

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Book Description
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

Privacy-Preserving Data Mining

Privacy-Preserving Data Mining PDF Author: Charu C. Aggarwal
Publisher: Springer Science & Business Media
ISBN: 0387709924
Category : Computers
Languages : en
Pages : 524

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Book Description
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.

Data Mining

Data Mining PDF Author: Nong Ye
Publisher: CRC Press
ISBN: 1482219387
Category : Business & Economics
Languages : en
Pages : 353

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Book Description
New technologies have enabled us to collect massive amounts of data in many fields. However, our pace of discovering useful information and knowledge from these data falls far behind our pace of collecting the data. Data Mining: Theories, Algorithms, and Examples introduces and explains a comprehensive set of data mining algorithms from various dat

Randomized Algorithms in Automatic Control and Data Mining

Randomized Algorithms in Automatic Control and Data Mining PDF Author: Oleg Granichin
Publisher: Springer
ISBN: 3642547869
Category : Technology & Engineering
Languages : en
Pages : 268

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Book Description
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.