Uncertainty Modeling For Data Mining
DOWNLOAD
Download Uncertainty Modeling For Data Mining PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Uncertainty Modeling For Data Mining book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Uncertainty Modeling For Data Mining
DOWNLOAD
Author : Zengchang Qin
language : en
Publisher: Springer
Release Date : 2014-10-30
Uncertainty Modeling For Data Mining written by Zengchang Qin and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-10-30 with Computers categories.
Machine learning and data mining are inseparably connected with uncertainty. The observable data for learning is usually imprecise, incomplete or noisy. Uncertainty Modeling for Data Mining: A Label Semantics Approach introduces 'label semantics', a fuzzy-logic-based theory for modeling uncertainty. Several new data mining algorithms based on label semantics are proposed and tested on real-world datasets. A prototype interpretation of label semantics and new prototype-based data mining algorithms are also discussed. This book offers a valuable resource for postgraduates, researchers and other professionals in the fields of data mining, fuzzy computing and uncertainty reasoning. Zengchang Qin is an associate professor at the School of Automation Science and Electrical Engineering, Beihang University, China; Yongchuan Tang is an associate professor at the College of Computer Science, Zhejiang University, China.
Uncertainty Modeling For Data Mining
DOWNLOAD
Author : Beihang University Zhixing Building Room 117
language : en
Publisher: Springer
Release Date : 2016-05-01
Uncertainty Modeling For Data Mining written by Beihang University Zhixing Building Room 117 and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-01 with categories.
Outlining a new research direction in fuzzy set theory applied to data mining, this volume proposes a number of new data mining algorithms and includes dozens of figures and illustrations that help the reader grasp the complexities of the concepts.
Modeling Uncertainty In The Earth Sciences
DOWNLOAD
Author : Jef Caers
language : en
Publisher: John Wiley & Sons
Release Date : 2011-05-25
Modeling Uncertainty In The Earth Sciences written by Jef Caers 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 2011-05-25 with Science categories.
Modeling Uncertainty in the Earth Sciences highlights the various issues, techniques and practical modeling tools available for modeling the uncertainty of complex Earth systems and the impact that it has on practical situations. The aim of the book is to provide an introductory overview which covers a broad range of tried-and-tested tools. Descriptions of concepts, philosophies, challenges, methodologies and workflows give the reader an understanding of the best way to make decisions under uncertainty for Earth Science problems. The book covers key issues such as: Spatial and time aspect; large complexity and dimensionality; computation power; costs of 'engineering' the Earth; uncertainty in the modeling and decision process. Focusing on reliable and practical methods this book provides an invaluable primer for the complex area of decision making with uncertainty in the Earth Sciences.
Uncertainty Modeling And Decision Making In Geotechnics
DOWNLOAD
Author : Kok-Kwang Phoon
language : en
Publisher: CRC Press
Release Date : 2023-12-11
Uncertainty Modeling And Decision Making In Geotechnics written by Kok-Kwang Phoon and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-11 with Technology & Engineering categories.
Uncertainty, Modeling, and Decision Making in Geotechnics shows how uncertainty quantification and numerical modeling can complement each other to enhance decision-making in geotechnical practice, filling a critical gap in guiding practitioners to address uncertainties directly. The book helps practitioners acquire a working knowledge of geotechnical risk and reliability methods and guides them to use these methods wisely in conjunction with data and numerical modeling. In particular, it provides guidance on the selection of realistic statistics and a cost-effective, accessible method to address different design objectives, and for different problem settings, and illustrates the value of this to decision-making using realistic examples. Bringing together statistical characterization, reliability analysis, reliability-based design, probabilistic inverse analysis, and physical insights drawn from case studies, this reference guide from an international team of experts offers an excellent resource for state-of-the-practice uncertainty-informed geotechnical design for specialist practitioners and the research community.
Uncertainty Analysis With High Dimensional Dependence Modelling
DOWNLOAD
Author : Dorota Kurowicka
language : en
Publisher: John Wiley & Sons
Release Date : 2006-10-02
Uncertainty Analysis With High Dimensional Dependence Modelling written by Dorota Kurowicka 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 2006-10-02 with Mathematics categories.
Mathematical models are used to simulate complex real-world phenomena in many areas of science and technology. Large complex models typically require inputs whose values are not known with certainty. Uncertainty analysis aims to quantify the overall uncertainty within a model, in order to support problem owners in model-based decision-making. In recent years there has been an explosion of interest in uncertainty analysis. Uncertainty and dependence elicitation, dependence modelling, model inference, efficient sampling, screening and sensitivity analysis, and probabilistic inversion are among the active research areas. This text provides both the mathematical foundations and practical applications in this rapidly expanding area, including: An up-to-date, comprehensive overview of the foundations and applications of uncertainty analysis. All the key topics, including uncertainty elicitation, dependence modelling, sensitivity analysis and probabilistic inversion. Numerous worked examples and applications. Workbook problems, enabling use for teaching. Software support for the examples, using UNICORN - a Windows-based uncertainty modelling package developed by the authors. A website featuring a version of the UNICORN software tailored specifically for the book, as well as computer programs and data sets to support the examples. Uncertainty Analysis with High Dimensional Dependence Modelling offers a comprehensive exploration of a new emerging field. It will prove an invaluable text for researches, practitioners and graduate students in areas ranging from statistics and engineering to reliability and environmetrics.
Theory Methodology Tools And Applications For Modeling And Simulation Of Complex Systems
DOWNLOAD
Author : Lin Zhang
language : en
Publisher: Springer
Release Date : 2016-09-21
Theory Methodology Tools And Applications For Modeling And Simulation Of Complex Systems written by Lin Zhang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-21 with Computers categories.
This four-volume set (CCIS 643, 644, 645, 646) constitutes the refereed proceedings of the 16th Asia Simulation Conference and the First Autumn Simulation Multi-Conference, AsiaSim / SCS AutumnSim 2016, held in Beijing, China, in October 2016. The 265 revised full papers presented were carefully reviewed and selected from 651 submissions. The papers in this fourth volume of the set are organized in topical sections on Modeling and Simulation Applications; Simulation Software; Social Simulations; Verification, Validation and Accreditation.
Data Mining And Methods For Early Detection Horizon Scanning Modelling And Risk Assessment Of Invasive Species
DOWNLOAD
Author : Aristides Moustakas
language : en
Publisher: Frontiers Media SA
Release Date : 2018-05-03
Data Mining And Methods For Early Detection Horizon Scanning Modelling And Risk Assessment Of Invasive Species written by Aristides Moustakas and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-03 with categories.
Invasive alien species are non-indigenous taxa introduced to areas beyond their natural distribution and bio-geographical barriers by human activity, with important impacts on biodiversity, human health and ecosystem services. With the human population being higher than ever before and increasing, together with unprecedented rates of mobility of humans and goods, the introduction of new invasive species is more common than ever and is at the forefront of research in many disciplines such as ecology, epidemiology and food security. The mechanisms of successful introduction, establishment and spread of invasive alien species are highly complex as biological, social, geographic, economic and climatic factors influence the way an invasive species is introduced and determine the options available for its eventual detection and control. With the rapid development of smart sensors, social networks, digital maps and remotely-sensed imagery, spatio-temporal data are more ubiquitous and richer than ever before. The availability of such large datasets (Big data) poses great challenges in data analysis. In addition, increased availability of computing power facilitates the use of computationally-intensive methods for the analysis of such data. Thus new methods are needed to efficiently study and understand biological invasions. A Research Topic held in Frontiers Environmental Informatics aimed to address this topic. Methods are defined in the widest terms and may be analytical, practical or conceptual. Among others, a key aim of the thematic was to maximize the use of the proposed methods/techniques by the scientific community and environmental stakeholders.
Integrated Uncertainty In Knowledge Modelling And Decision Making
DOWNLOAD
Author : Van-Nam Huynh
language : en
Publisher: Springer
Release Date : 2016-11-21
Integrated Uncertainty In Knowledge Modelling And Decision Making written by Van-Nam Huynh and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-21 with Computers categories.
This book constitutes the refereed proceedings of the 5th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2016, held in Da Nang, Vietnam, in November/December 2016. The IUKM symposia aim to provide a forum for exchanges of research results and ideas, and experience of application among researchers and practitioners involved with all aspects of uncertainty modelling and management.
Quality Aspects In Spatial Data Mining
DOWNLOAD
Author : Alfred Stein
language : en
Publisher: CRC Press
Release Date : 2016-04-19
Quality Aspects In Spatial Data Mining written by Alfred Stein 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 Mathematics categories.
Describes the State-of-the-Art in Spatial Data Mining, Focuses on Data QualitySubstantial progress has been made toward developing effective techniques for spatial information processing in recent years. This science deals with models of reality in a GIS, however, and not with reality itself. Therefore, spatial information processes are often impre
Advances In Data Mining Applications And Theoretical Aspects
DOWNLOAD
Author : Petra Perner
language : en
Publisher: Springer
Release Date : 2013-07-11
Advances In Data Mining Applications And Theoretical Aspects written by Petra Perner and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-07-11 with Computers categories.
This book constitutes the refereed proceedings of the 13th Industrial Conference on Data Mining, ICDM 2013, held in New York, NY, in July 2013. The 22 revised full papers presented were carefully reviewed and selected from 112 submissions. The topics range from theoretical aspects of data mining to applications of data mining, such as in multimedia data, in marketing, finance and telecommunication, in medicine and agriculture, and in process control, industry and society.