Robust Data Mining

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Robust Data Mining
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Author : Petros Xanthopoulos
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-11-28
Robust Data Mining written by Petros Xanthopoulos 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 2012-11-28 with Mathematics categories.
Data uncertainty is a concept closely related with most real life applications that involve data collection and interpretation. Examples can be found in data acquired with biomedical instruments or other experimental techniques. Integration of robust optimization in the existing data mining techniques aim to create new algorithms resilient to error and noise. This work encapsulates all the latest applications of robust optimization in data mining. This brief contains an overview of the rapidly growing field of robust data mining research field and presents the most well known machine learning algorithms, their robust counterpart formulations and algorithms for attacking these problems. This brief will appeal to theoreticians and data miners working in this field.
Robust Data Mining
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Author : Springer
language : en
Publisher:
Release Date : 2012-11-26
Robust Data Mining written by Springer and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-26 with categories.
Robust Representation For Data Analytics
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Author : Sheng Li
language : en
Publisher: Springer
Release Date : 2017-08-09
Robust Representation For Data Analytics written by Sheng Li and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-09 with Computers categories.
This book introduces the concepts and models of robust representation learning, and provides a set of solutions to deal with real-world data analytics tasks, such as clustering, classification, time series modeling, outlier detection, collaborative filtering, community detection, etc. Three types of robust feature representations are developed, which extend the understanding of graph, subspace, and dictionary. Leveraging the theory of low-rank and sparse modeling, the authors develop robust feature representations under various learning paradigms, including unsupervised learning, supervised learning, semi-supervised learning, multi-view learning, transfer learning, and deep learning. Robust Representations for Data Analytics covers a wide range of applications in the research fields of big data, human-centered computing, pattern recognition, digital marketing, web mining, and computer vision.
Environmental Information Systems Concepts Methodologies Tools And Applications
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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2018-09-07
Environmental Information Systems Concepts Methodologies Tools And Applications written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-07 with Technology & Engineering categories.
This three-volume publication is an IGI Global Core Reference for 2019 as it provides over 75 chapters containing the latest research on information systems, remote sensing, and geographic information science that is utilized for the management of environmental data. Bringing together the international perspectives of researchers in the U.S., Australia, China, Canada, Italy, and more, this title is an ideal reference for engineers, data scientists, practitioners, academicians, and researchers interested solving conceptual, methodological, technical, and managerial issues within Environmental Information Systems. Environmental Information Systems: Concepts, Methodologies, Tools, and Applications is an innovative reference source containing the latest research on the use of information systems to track and organize environmental data for use in an overall environmental management system. Highlighting a range of topics such as environmental analysis, remote sensing, and geographic information science, this multi-volume book is designed for engineers, data scientists, practitioners, academicians, and researchers interested in all aspects of environmental information systems.
Robust Statistics
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Author : Ricardo A. Maronna
language : en
Publisher: John Wiley & Sons
Release Date : 2019-01-04
Robust Statistics written by Ricardo A. Maronna and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-04 with Mathematics categories.
A new edition of this popular text on robust statistics, thoroughly updated to include new and improved methods and focus on implementation of methodology using the increasingly popular open-source software R. Classical statistics fail to cope well with outliers associated with deviations from standard distributions. Robust statistical methods take into account these deviations when estimating the parameters of parametric models, thus increasing the reliability of fitted models and associated inference. This new, second edition of Robust Statistics: Theory and Methods (with R) presents a broad coverage of the theory of robust statistics that is integrated with computing methods and applications. Updated to include important new research results of the last decade and focus on the use of the popular software package R, it features in-depth coverage of the key methodology, including regression, multivariate analysis, and time series modeling. The book is illustrated throughout by a range of examples and applications that are supported by a companion website featuring data sets and R code that allow the reader to reproduce the examples given in the book. Unlike other books on the market, Robust Statistics: Theory and Methods (with R) offers the most comprehensive, definitive, and up-to-date treatment of the subject. It features chapters on estimating location and scale; measuring robustness; linear regression with fixed and with random predictors; multivariate analysis; generalized linear models; time series; numerical algorithms; and asymptotic theory of M-estimates. Explains both the use and theoretical justification of robust methods Guides readers in selecting and using the most appropriate robust methods for their problems Features computational algorithms for the core methods Robust statistics research results of the last decade included in this 2nd edition include: fast deterministic robust regression, finite-sample robustness, robust regularized regression, robust location and scatter estimation with missing data, robust estimation with independent outliers in variables, and robust mixed linear models. Robust Statistics aims to stimulate the use of robust methods as a powerful tool to increase the reliability and accuracy of statistical modelling and data analysis. It is an ideal resource for researchers, practitioners, and graduate students in statistics, engineering, computer science, and physical and social sciences.
Data Warehousing For Dummies
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Author : Thomas C. Hammergren
language : en
Publisher: John Wiley & Sons
Release Date : 2009-04-13
Data Warehousing For Dummies written by Thomas C. Hammergren and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-04-13 with Computers categories.
Data warehousing is one of the hottest business topics, and there’s more to understanding data warehousing technologies than you might think. Find out the basics of data warehousing and how it facilitates data mining and business intelligence with Data Warehousing For Dummies, 2nd Edition. Data is probably your company’s most important asset, so your data warehouse should serve your needs. The fully updated Second Edition of Data Warehousing For Dummies helps you understand, develop, implement, and use data warehouses, and offers a sneak peek into their future. You’ll learn to: Analyze top-down and bottom-up data warehouse designs Understand the structure and technologies of data warehouses, operational data stores, and data marts Choose your project team and apply best development practices to your data warehousing projects Implement a data warehouse, step by step, and involve end-users in the process Review and upgrade existing data storage to make it serve your needs Comprehend OLAP, column-wise databases, hardware assisted databases, and middleware Use data mining intelligently and find what you need Make informed choices about consultants and data warehousing products Data Warehousing For Dummies, 2nd Edition also shows you how to involve users in the testing process and gain valuable feedback, what it takes to successfully manage a data warehouse project, and how to tell if your project is on track. You’ll find it’s the most useful source of data on the topic!
Proceedings Of The 8th International Conference On Decision Support System Technology Icdsst 2022 On Decision Support Addressing Modern Industry Business And Societal Needs
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Author : Jason Papathanasiou
language : en
Publisher: EWG-DSS
Release Date : 2022-05-23
Proceedings Of The 8th International Conference On Decision Support System Technology Icdsst 2022 On Decision Support Addressing Modern Industry Business And Societal Needs written by Jason Papathanasiou and has been published by EWG-DSS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-23 with Business & Economics categories.
Introduction To Robotics
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Author : Swarnalata Verma
language : en
Publisher: Educohack Press
Release Date : 2025-02-20
Introduction To Robotics written by Swarnalata Verma and has been published by Educohack Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-20 with Computers categories.
"Introduction to Robotics" takes readers on a transformative journey into the fascinating world of robotics. Designed for both aspiring robotics enthusiasts and seasoned professionals, this comprehensive guide illuminates the fundamental principles that underpin the dynamic and ever-evolving field of robotics. We explore the essential aspects of robotics, from the basics of robot design and control to advanced topics like artificial intelligence, machine learning, and autonomous systems. Each chapter delves into key concepts, methodologies, and best practices, providing a balanced mix of theoretical foundations and practical applications. We cover topics such as kinematics, sensors and actuators, robot programming, and path planning. Real-world case studies and examples illustrate how these principles are applied in various industries, from manufacturing and healthcare to space exploration and entertainment. Whether you are a student stepping into the world of robotics or a professional looking to deepen your knowledge, "Introduction to Robotics" equips you with the tools and insights needed to navigate this exciting field. With its blend of theory and application, this book serves as an invaluable resource for mastering the art of robotics.
Recent Advances In Stochastic Modeling And Data Analysis
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Author : Christos H. Skiadas
language : en
Publisher: World Scientific
Release Date : 2007
Recent Advances In Stochastic Modeling And Data Analysis written by Christos H. Skiadas and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Mathematics categories.
This volume presents the most recent applied and methodological issues in stochastic modeling and data analysis. The contributions cover various fields such as stochastic processes and applications, data analysis methods and techniques, Bayesian methods, biostatistics, econometrics, sampling, linear and nonlinear models, networks and queues, survival analysis, and time series. The volume presents new results with potential for solving real-life problems and provides novel methods for solving these problems by analyzing the relevant data. The use of recent advances in different fields is emphasized, especially new optimization and statistical methods, data warehouse, data mining and knowledge systems, neural computing, and bioinformatics. Sample Chapter(s). Chapter 1: An approach to Stochastic Process using Quasi-Arithmetic Means (373 KB). Contents: Stochastic Processes and Models; Distributions; Insurance; Stochastic Modeling for Healthcare Management; Markov and Semi Markov Models; Parametric/Non-Parametric; Dynamical Systems/Forecasting; Modeling and Stochastic Modeling; Statistical Applications in Socioeconimic Problems; Sampling and Optimization Problems; Data Mining and Applications; Clustering and Classification; Applications of Data Analysis; Miscellaneous. Readership: Researchers in probability and statistics, stochastics and fuzzy logic.
A Product Manager S Journey In Esg Software Development
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Author : Dr. Jayakumar Indracanti
language : en
Publisher: Notion Press
Release Date : 2024-12-06
A Product Manager S Journey In Esg Software Development written by Dr. Jayakumar Indracanti and has been published by Notion Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-06 with Business & Economics categories.
In a world where environmental, social, and governance (ESG) considerations are no longer optional, innovative digital solutions are more critical than ever. Yet, despite the growing focus on sustainability and ethical responsibility, many organizations need help implementing practical ESG applications that meet evolving market demands. My journey as a Product Manager in ESG Application Development has been driven by a passion to bridge the gap between technology and ESG principles. This book, A Product Manager's Journey in ESG Application Development, is more than just a book; it's a roadmap for anyone looking to navigate the complex intersection of technology and ESG principles. As a product manager deeply committed to building sustainable, scalable applications, I've recognized the need for comprehensive guidance in this space. This book is a reflection of my experience, lessons learned, and practical strategies for overcoming the unique challenges of ESG application development. Whether you're a product manager, developer, or executive looking to make an impact through ESG innovation, this book offers a wealth of insights and tools to help you succeed. It's not just a technical manual; it's a story of dedication to a cause that will shape the future of business