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Data Uncertainty and Important Measures

heat sink. In the third part, Bayesian and evidential networks are used to deal with important measures evaluation in the context;

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Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations

; mathematical fuzzy logic, mathematical morphology; measures of comparison and entropies for fuzzy sets and their extensions; new trends in data;

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Learning Microeconometrics with R

accurately Utilizes interesting real-world data sets that can be used to analyze important microeconomic problems Introduces R programming;

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Reasoning about Uncertainty

measures, complexity-theoretic considerations, and other topics. In order to deal with uncertainty intelligently, we need to be able to represent;

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Information Processing and Management of Uncertainty

uncertainty and imprecision on the web of data; decision support and uncertainty management in agri-environment; fuzzy implications; clustering; fuzzy;

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Possibility Theory for the Design of Information Fusion Systems

theory, and fills an important gap in this era of Big Data and Internet of Things. The book discusses fundamental possibilistic concepts;

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Querying And Mining Uncertain Data Streams

Data uncertainty widely exists in many applications, and an uncertain data stream is a series of uncertain tuples that arrive rapidly;

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Querying And Mining Uncertain Data Streams

Data uncertainty widely exists in many applications, and an uncertain data stream is a series of uncertain tuples that arrive rapidly;

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Reasoning about Uncertainty

possible formal systems for representing uncertainty, including probability measures, possibility measures, and plausibility measures. He considers;

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Fuzzy Information Measures with Applications

FUZZY INFORMATION MEASURES WITH APPLICATIONS consists from chapters 1 to 8 deals with fuzzy sets theory including fuzzy sets and operations;

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Statistical and Fuzzy Approaches to Data Processing, with Applications to Econometrics and Other Areas

Mainly focusing on processing uncertainty, this book presents state-of-the-art techniques and demonstrates their use in applications to;

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Statistical and Fuzzy Approaches to Data Processing, with Applications to Econometrics and Other Areas

Mainly focusing on processing uncertainty, this book presents state-of-the-art techniques and demonstrates their use in applications to;

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Bayesian Demographic Estimation and Forecasting

. The methods unify estimation and forecasting, and yield detailed measures of uncertainty. The book assumes minimal knowledge of statistics;

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Bayesian Demographic Estimation and Forecasting

. The methods unify estimation and forecasting, and yield detailed measures of uncertainty. The book assumes minimal knowledge;

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Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses

science (GISci) is the new kid on the block. Its theoretical foundations are therefore still developing and data quality and uncertainty modeling;

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Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses

science (GISci) is the new kid on the block. Its theoretical foundations are therefore still developing and data quality and uncertainty modeling;

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Uncertainty Modelling and Quality Control for Spatial Data

settlement Uncertainty Modelling and Quality Control for Spatial Data serves university students, researchers and professionals;

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Uncertainty Modelling and Quality Control for Spatial Data

settlement Uncertainty Modelling and Quality Control for Spatial Data serves university students, researchers and professionals;

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Uncertainty Modeling for Data Mining

Machine learning and data mining are inseparably connected with uncertainty. The observable data for learning is usually imprecise;

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Journalism, Economic Uncertainty and Political Irregularity in the Digital and Data Era

of multiple disruptions brought about by digital technology, economic uncertainty, and political irregularity. A timely and important;

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The Geometry of Uncertainty

. In this geometric approach to uncertainty, uncertainty measures can be seen as points of a suitably complex geometric space, and manipulated;

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The Geometry of Uncertainty

. In this geometric approach to uncertainty, uncertainty measures can be seen as points of a suitably complex geometric space, and manipulated;

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Probabilistic Ranking Techniques in Relational Databases

new processing techniques leveraging the capabilities of relational database systems to recognize and handle data uncertainty in score-based;

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Health Communication Research Measures

quantitative measures, the editors argue that these measures are centrally important to the study of health communication. The chapters emphasize;

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Health Communication Research Measures

quantitative measures, the editors argue that these measures are centrally important to the study of health communication. The chapters emphasize;

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Dimensions of Uncertainty in Communication Engineering

communications, providing techniques for addressing epistemic uncertainty, as well as an important resource for researchers and industry engineers;

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Communicating Data With Tableau

charts to depict proportions and percentages Visualize measures of mean, median, and mode Lean how to deal with variation and uncertainty;

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