PDF Search: machine learning and data mining

Machine Learning And Data Mining In Pattern Recognition

Machine Learning and Data Mining in Pattern Recognition PDF
Author: Petra Perner
Publisher: Springer Science & Business Media
Release Date: 2011-08-12
Book Size: 39.24 MB
Book Format: PDF, ePub, Mobi
Category : Computers
Languages : en
Pages : 614
View: 3876

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Machine Learning And Data Mining In Pattern Recognition

by Petra Perner, Machine Learning And Data Mining In Pattern Recognition Books available in Docs, PDF, EPUB, Mobi, Textbook, Kindle Format. Download Machine Learning And Data Mining In Pattern Recognition book, This book constitutes the refereed proceedings of the 7th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2011, held in New York, NY, USA. The 44 revised full papers presented were carefully reviewed and selected from 170 submissions. The papers are organized in topical sections on classification and decision theory, theory of learning, clustering, application in medicine, webmining and information mining; and machine learning and image mining.



Data Mining And Machine Learning In Cybersecurity

Data Mining and Machine Learning in Cybersecurity PDF
Author: Sumeet Dua
Publisher: CRC Press
Release Date: 2016-04-19
Book Size: 55.41 MB
Book Format: PDF, ePub, Mobi
Category : Computers
Languages : en
Pages : 256
View: 5421

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Data Mining And Machine Learning In Cybersecurity

by Sumeet Dua, Data Mining And Machine Learning In Cybersecurity Books available in Docs, PDF, EPUB, Mobi, Textbook, Kindle Format. Download Data Mining And Machine Learning In Cybersecurity book, With the rapid advancement of information discovery techniques, machine learning and data mining continue to play a significant role in cybersecurity. Although several conferences, workshops, and journals focus on the fragmented research topics in this area, there has been no single interdisciplinary resource on past and current works and possible



Big Data Data Mining And Machine Learning

Big Data  Data Mining  and Machine Learning PDF
Author: Jared Dean
Publisher: John Wiley & Sons
Release Date: 2014-05-27
Book Size: 54.61 MB
Book Format: PDF, ePub, Mobi
Category : Computers
Languages : en
Pages : 288
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Big Data Data Mining And Machine Learning

by Jared Dean, Big Data Data Mining And Machine Learning Books available in Docs, PDF, EPUB, Mobi, Textbook, Kindle Format. Download Big Data Data Mining And Machine Learning book, With big data analytics comes big insights into profitability Big data is big business. But having the data and the computational power to process it isn't nearly enough to produce meaningful results. Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and Practitioners is a complete resource for technology and marketing executives looking to cut through the hype and produce real results that hit the bottom line. Providing an engaging, thorough overview of the current state of big data analytics and the growing trend toward high performance computing architectures, the book is a detail-driven look into how big data analytics can be leveraged to foster positive change and drive efficiency. With continued exponential growth in data and ever more competitive markets, businesses must adapt quickly to gain every competitive advantage available. Big data analytics can serve as the linchpin for initiatives that drive business, but only if the underlying technology and analysis is fully understood and appreciated by engaged stakeholders. This book provides a view into the topic that executives, managers, and practitioners require, and includes: A complete overview of big data and its notable characteristics Details on high performance computing architectures for analytics, massively parallel processing (MPP), and in-memory databases Comprehensive coverage of data mining, text analytics, and machine learning algorithms A discussion of explanatory and predictive modeling, and how they can be applied to decision-making processes Big Data, Data Mining, and Machine Learning provides technology and marketing executives with the complete resource that has been notably absent from the veritable libraries of published books on the topic. Take control of your organization's big data analytics to produce real results with a resource that is comprehensive in scope and light on hyperbole.



Machine Learning And Data Mining

Machine Learning and Data Mining PDF
Author: Igor Kononenko
Publisher: Elsevier
Release Date: 2007-04-30
Book Size: 24.83 MB
Book Format: PDF, ePub
Category : Computers
Languages : en
Pages : 480
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Machine Learning And Data Mining

by Igor Kononenko, Machine Learning And Data Mining Books available in Docs, PDF, EPUB, Mobi, Textbook, Kindle Format. Download Machine Learning And Data Mining book, Data mining is often referred to by real-time users and software solutions providers as knowledge discovery in databases (KDD). Good data mining practice for business intelligence (the art of turning raw software into meaningful information) is demonstrated by the many new techniques and developments in the conversion of fresh scientific discovery into widely accessible software solutions. This book has been written as an introduction to the main issues associated with the basics of machine learning and the algorithms used in data mining. Suitable for advanced undergraduates and their tutors at postgraduate level in a wide area of computer science and technology topics as well as researchers looking to adapt various algorithms for particular data mining tasks. A valuable addition to the libraries and bookshelves of the many companies who are using the principles of data mining (or KDD) to effectively deliver solid business and industry solutions. Provides an introduction to the main issues associated with the basics of machine learning and the algorithms used in data mining A valuable addition to the libraries and bookshelves of companies using the principles of data mining (or KDD) to effectively deliver solid business and industry solutions



Machine Learning And Data Mining In Aerospace Technology

Machine Learning and Data Mining in Aerospace Technology PDF
Author: Aboul Ella Hassanien
Publisher: Springer
Release Date: 2019-07-02
Book Size: 76.77 MB
Book Format: PDF, ePub
Category : Technology & Engineering
Languages : en
Pages : 232
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Machine Learning And Data Mining In Aerospace Technology

by Aboul Ella Hassanien, Machine Learning And Data Mining In Aerospace Technology Books available in Docs, PDF, EPUB, Mobi, Textbook, Kindle Format. Download Machine Learning And Data Mining In Aerospace Technology book, This book explores the main concepts, algorithms, and techniques of Machine Learning and data mining for aerospace technology. Satellites are the ‘eagle eyes’ that allow us to view massive areas of the Earth simultaneously, and can gather more data, more quickly, than tools on the ground. Consequently, the development of intelligent health monitoring systems for artificial satellites – which can determine satellites’ current status and predict their failure based on telemetry data – is one of the most important current issues in aerospace engineering. This book is divided into three parts, the first of which discusses central problems in the health monitoring of artificial satellites, including tensor-based anomaly detection for satellite telemetry data and machine learning in satellite monitoring, as well as the design, implementation, and validation of satellite simulators. The second part addresses telemetry data analytics and mining problems, while the last part focuses on security issues in telemetry data.



Machine Learning And Data Mining In Pattern Recognition

Machine Learning and Data Mining in Pattern Recognition PDF
Author: Petra Perner
Publisher: Springer
Release Date: 2012-07-07
Book Size: 57.12 MB
Book Format: PDF, Docs
Category : Computers
Languages : en
Pages : 680
View: 4111

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Machine Learning And Data Mining In Pattern Recognition

by Petra Perner, Machine Learning And Data Mining In Pattern Recognition Books available in Docs, PDF, EPUB, Mobi, Textbook, Kindle Format. Download Machine Learning And Data Mining In Pattern Recognition book, This book constitutes the refereed proceedings of the 8th International Conference, MLDM 2012, held in Berlin, Germany in July 2012. The 51 revised full papers presented were carefully reviewed and selected from 212 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and web mining.



Data Mining And Machine Learning

Data Mining and Machine Learning PDF
Author: Mohammed J. Zaki
Publisher: Cambridge University Press
Release Date: 2020-01-31
Book Size: 34.48 MB
Book Format: PDF
Category : Business & Economics
Languages : en
Pages : 775
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Data Mining And Machine Learning

by Mohammed J. Zaki, Data Mining And Machine Learning Books available in Docs, PDF, EPUB, Mobi, Textbook, Kindle Format. Download Data Mining And Machine Learning book, New to the second edition of this advanced text are several chapters on regression, including neural networks and deep learning.



Machine Learning And Data Mining In Pattern Recognition

Machine Learning and Data Mining in Pattern Recognition PDF
Author: Petra Perner
Publisher: Springer
Release Date: 2016-06-28
Book Size: 68.13 MB
Book Format: PDF, ePub
Category : Computers
Languages : en
Pages : 807
View: 1447

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Machine Learning And Data Mining In Pattern Recognition

by Petra Perner, Machine Learning And Data Mining In Pattern Recognition Books available in Docs, PDF, EPUB, Mobi, Textbook, Kindle Format. Download Machine Learning And Data Mining In Pattern Recognition book, This book constitutes the refereed proceedings of the 12th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2016, held in New York, NY, USA in July 2016. The 58 regular papers presented in this book were carefully reviewed and selected from 169 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and Web mining.



Advances In Machine Learning And Data Mining For Astronomy

Advances in Machine Learning and Data Mining for Astronomy PDF
Author: Michael J. Way
Publisher: CRC Press
Release Date: 2012-03-29
Book Size: 15.58 MB
Book Format: PDF, ePub, Docs
Category : Computers
Languages : en
Pages : 744
View: 7131

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Advances In Machine Learning And Data Mining For Astronomy

by Michael J. Way, Advances In Machine Learning And Data Mining For Astronomy Books available in Docs, PDF, EPUB, Mobi, Textbook, Kindle Format. Download Advances In Machine Learning And Data Mining For Astronomy book, Advances in Machine Learning and Data Mining for Astronomy documents numerous successful collaborations among computer scientists, statisticians, and astronomers who illustrate the application of state-of-the-art machine learning and data mining techniques in astronomy. Due to the massive amount and complexity of data in most scientific disciplines, the material discussed in this text transcends traditional boundaries between various areas in the sciences and computer science. The book’s introductory part provides context to issues in the astronomical sciences that are also important to health, social, and physical sciences, particularly probabilistic and statistical aspects of classification and cluster analysis. The next part describes a number of astrophysics case studies that leverage a range of machine learning and data mining technologies. In the last part, developers of algorithms and practitioners of machine learning and data mining show how these tools and techniques are used in astronomical applications. With contributions from leading astronomers and computer scientists, this book is a practical guide to many of the most important developments in machine learning, data mining, and statistics. It explores how these advances can solve current and future problems in astronomy and looks at how they could lead to the creation of entirely new algorithms within the data mining community.



Data Mining

Data Mining PDF
Author: Ian H. Witten
Publisher: Morgan Kaufmann
Release Date: 2016-10-01
Book Size: 56.21 MB
Book Format: PDF, Mobi
Category : Computers
Languages : en
Pages : 654
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Data Mining

by Ian H. Witten, Data Mining Books available in Docs, PDF, EPUB, Mobi, Textbook, Kindle Format. Download Data Mining book, Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches. Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including substantial new chapters on probabilistic methods and on deep learning. Accompanying the book is a new version of the popular WEKA machine learning software from the University of Waikato. Authors Witten, Frank, Hall, and Pal include today's techniques coupled with the methods at the leading edge of contemporary research. Please visit the book companion website at http://www.cs.waikato.ac.nz/ml/weka/book.html It contains Powerpoint slides for Chapters 1-12. This is a very comprehensive teaching resource, with many PPT slides covering each chapter of the book Online Appendix on the Weka workbench; again a very comprehensive learning aid for the open source software that goes with the book Table of contents, highlighting the many new sections in the 4th edition, along with reviews of the 1st edition, errata, etc. Provides a thorough grounding in machine learning concepts, as well as practical advice on applying the tools and techniques to data mining projects Presents concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods Includes a downloadable WEKA software toolkit, a comprehensive collection of machine learning algorithms for data mining tasks-in an easy-to-use interactive interface Includes open-access online courses that introduce practical applications of the material in the book



Machine Learning And Data Mining In Pattern Recognition

Machine Learning and Data Mining in Pattern Recognition PDF
Author: Petra Perner
Publisher: Springer
Release Date: 2009-07-10
Book Size: 23.84 MB
Book Format: PDF, Kindle
Category : Computers
Languages : en
Pages : 824
View: 2493

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Machine Learning And Data Mining In Pattern Recognition

by Petra Perner, Machine Learning And Data Mining In Pattern Recognition Books available in Docs, PDF, EPUB, Mobi, Textbook, Kindle Format. Download Machine Learning And Data Mining In Pattern Recognition book, There is no royal road to science, and only those who do not dread the fatiguing climb of its steep paths have a chance of gaining its luminous summits. Karl Marx A Universial Genius of the 19th Century Many scientists from all over the world during the past two years since the MLDM 2007 have come along on the stony way to the sunny summit of science and have worked hard on new ideas and applications in the area of data mining in pattern r- ognition. Our thanks go to all those who took part in this year's MLDM. We appre- ate their submissions and the ideas shared with the Program Committee. We received over 205 submissions from all over the world to the International Conference on - chine Learning and Data Mining, MLDM 2009. The Program Committee carefully selected the best papers for this year’s program and gave detailed comments on each submitted paper. There were 63 papers selected for oral presentation and 17 papers for poster presentation. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data-mining methods for the different multimedia data types such as image mining, text mining, video mining and Web mining. Among these topics this year were special contributions to subtopics such as attribute discre- zation and data preparation, novelty and outlier detection, and distances and simila- ties.