Shadow Algorithms Data Miner

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Shadow Algorithms Data Miner

Andrew Woo,Pierre Poulin
Shadow Algorithms Data Miner Book PDF

Author : Andrew Woo,Pierre Poulin
Publisher : CRC Press
Page : 267 pages
File Size : 43,5 Mb
Release : 2012-06-12
Category : Computers
ISBN : 9781439880234

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Shadow Algorithms Data Miner by Andrew Woo,Pierre Poulin Pdf

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

Tomas Akenine-Möller,Eric Haines,Naty Hoffman
Real Time Rendering Fourth Edition Book PDF

Author : Tomas Akenine-Möller,Eric Haines,Naty Hoffman
Publisher : CRC Press
Page : 1199 pages
File Size : 51,7 Mb
Release : 2018-08-06
Category : Computers
ISBN : 9781351816151

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Real-Time Rendering, Fourth Edition by Tomas Akenine-Möller,Eric Haines,Naty Hoffman Pdf

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

Christine Leopoldseder
CyberArts 2020 Book PDF

Author : Christine Leopoldseder
Publisher : Hatje Cantz Verlag
Page : 137 pages
File Size : 54,5 Mb
Release : 2020-01-01
Category : Art
ISBN : 9783775747615

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CyberArts 2020 by Christine Leopoldseder Pdf

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

Xindong Wu,Vipin Kumar
The Top Ten Algorithms in Data Mining Book PDF

Author : Xindong Wu,Vipin Kumar
Publisher : CRC Press
Page : 230 pages
File Size : 51,6 Mb
Release : 2009-04-09
Category : Business & Economics
ISBN : 9781420089653

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The Top Ten Algorithms in Data Mining by Xindong Wu,Vipin Kumar Pdf

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

Association Rule Hiding for Data Mining

Aris Gkoulalas-Divanis,Vassilios S. Verykios
Association Rule Hiding for Data Mining Book PDF

Author : Aris Gkoulalas-Divanis,Vassilios S. Verykios
Publisher : Springer Science & Business Media
Page : 159 pages
File Size : 44,9 Mb
Release : 2010-05-17
Category : Computers
ISBN : 9781441965691

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Association Rule Hiding for Data Mining by Aris Gkoulalas-Divanis,Vassilios S. Verykios Pdf

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

Guozhu Dong,James Bailey
Contrast Data Mining Book PDF

Author : Guozhu Dong,James Bailey
Publisher : CRC Press
Page : 428 pages
File Size : 51,5 Mb
Release : 2016-04-19
Category : Business & Economics
ISBN : 9781439854334

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Contrast Data Mining by Guozhu Dong,James Bailey Pdf

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

Data Mining

Nong Ye
Data Mining Book PDF

Author : Nong Ye
Publisher : CRC Press
Page : 353 pages
File Size : 42,6 Mb
Release : 2013-07-26
Category : Business & Economics
ISBN : 9781482219388

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Data Mining by Nong Ye Pdf

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

Transparent Data Mining for Big and Small Data

Tania Cerquitelli,Daniele Quercia,Frank Pasquale
Transparent Data Mining for Big and Small Data Book PDF

Author : Tania Cerquitelli,Daniele Quercia,Frank Pasquale
Publisher : Springer
Page : 215 pages
File Size : 50,7 Mb
Release : 2017-05-09
Category : Computers
ISBN : 9783319540245

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Transparent Data Mining for Big and Small Data by Tania Cerquitelli,Daniele Quercia,Frank Pasquale Pdf

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.

High Performance Data Mining

Yike Guo,R.L. Grossman
High Performance Data Mining Book PDF

Author : Yike Guo,R.L. Grossman
Publisher : Springer Science & Business Media
Page : 106 pages
File Size : 51,8 Mb
Release : 2007-05-08
Category : Computers
ISBN : 9780306470110

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High Performance Data Mining by Yike Guo,R.L. Grossman Pdf

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.

Privacy-Preserving Data Mining

Charu C. Aggarwal,Philip S. Yu
Privacy Preserving Data Mining Book PDF

Author : Charu C. Aggarwal,Philip S. Yu
Publisher : Springer Science & Business Media
Page : 524 pages
File Size : 48,5 Mb
Release : 2008-06-10
Category : Computers
ISBN : 9780387709925

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Privacy-Preserving Data Mining by Charu C. Aggarwal,Philip S. Yu Pdf

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.

Randomized Algorithms in Automatic Control and Data Mining

Oleg Granichin,Zeev (Vladimir) Volkovich,Dvora Toledano-Kitai
Randomized Algorithms in Automatic Control and Data Mining Book PDF

Author : Oleg Granichin,Zeev (Vladimir) Volkovich,Dvora Toledano-Kitai
Publisher : Springer
Page : 268 pages
File Size : 55,9 Mb
Release : 2014-07-14
Category : Technology & Engineering
ISBN : 9783642547867

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Randomized Algorithms in Automatic Control and Data Mining by Oleg Granichin,Zeev (Vladimir) Volkovich,Dvora Toledano-Kitai Pdf

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.

Applications of Data Mining in Computer Security

Daniel Barbará,Sushil Jajodia
Applications of Data Mining in Computer Security Book PDF

Author : Daniel Barbará,Sushil Jajodia
Publisher : Springer Science & Business Media
Page : 266 pages
File Size : 46,6 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461509530

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Applications of Data Mining in Computer Security by Daniel Barbará,Sushil Jajodia Pdf

Data mining is becoming a pervasive technology in activities as diverse as using historical data to predict the success of a marketing campaign, looking for patterns in financial transactions to discover illegal activities or analyzing genome sequences. From this perspective, it was just a matter of time for the discipline to reach the important area of computer security. Applications Of Data Mining In Computer Security presents a collection of research efforts on the use of data mining in computer security. Applications Of Data Mining In Computer Security concentrates heavily on the use of data mining in the area of intrusion detection. The reason for this is twofold. First, the volume of data dealing with both network and host activity is so large that it makes it an ideal candidate for using data mining techniques. Second, intrusion detection is an extremely critical activity. This book also addresses the application of data mining to computer forensics. This is a crucial area that seeks to address the needs of law enforcement in analyzing the digital evidence.

Implementing Data Mining Algorithms in Microsoft SQL Server

Claudio Luiz Curotto,Nelson F. F. Ebecken
Implementing Data Mining Algorithms in Microsoft SQL Server Book PDF

Author : Claudio Luiz Curotto,Nelson F. F. Ebecken
Publisher : WIT Press
Page : 161 pages
File Size : 40,8 Mb
Release : 2005
Category : Computers
ISBN : 9781845640378

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Implementing Data Mining Algorithms in Microsoft SQL Server by Claudio Luiz Curotto,Nelson F. F. Ebecken Pdf

"All source codes, as well as data sets used in computational experiments, are included in the accompanying CD-ROM." -- p. [xv]

Association Rule Mining

Chengqi Zhang,Shichao Zhang
Association Rule Mining Book PDF

Author : Chengqi Zhang,Shichao Zhang
Publisher : Springer
Page : 244 pages
File Size : 41,8 Mb
Release : 2003-08-01
Category : Computers
ISBN : 9783540460275

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Association Rule Mining by Chengqi Zhang,Shichao Zhang Pdf

Due to the popularity of knowledge discovery and data mining, in practice as well as among academic and corporate R&D professionals, association rule mining is receiving increasing attention. The authors present the recent progress achieved in mining quantitative association rules, causal rules, exceptional rules, negative association rules, association rules in multi-databases, and association rules in small databases. This book is written for researchers, professionals, and students working in the fields of data mining, data analysis, machine learning, knowledge discovery in databases, and anyone who is interested in association rule mining.

Intrusion Detection

Nandita Sengupta,Jaya Sil
Intrusion Detection Book PDF

Author : Nandita Sengupta,Jaya Sil
Publisher : Springer Nature
Page : 151 pages
File Size : 55,6 Mb
Release : 2020-01-24
Category : Computers
ISBN : 9789811527166

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Intrusion Detection by Nandita Sengupta,Jaya Sil Pdf

This book presents state-of-the-art research on intrusion detection using reinforcement learning, fuzzy and rough set theories, and genetic algorithm. Reinforcement learning is employed to incrementally learn the computer network behavior, while rough and fuzzy sets are utilized to handle the uncertainty involved in the detection of traffic anomaly to secure data resources from possible attack. Genetic algorithms make it possible to optimally select the network traffic parameters to reduce the risk of network intrusion. The book is unique in terms of its content, organization, and writing style. Primarily intended for graduate electrical and computer engineering students, it is also useful for doctoral students pursuing research in intrusion detection and practitioners interested in network security and administration. The book covers a wide range of applications, from general computer security to server, network, and cloud security.