Representing Uncertain Data: Models, Properties, and Algorithms
a space of models for representing uncertain data based on a variety of uncertainty ... A relation in an uncertain database represents a set of possible instances ...
REPRESENTATION OF UNCERTAIN DATA USING POSSIBILISTIC
collections of uncertain data is a primary task in the real world applications, because data ... paper, we propose the Uncertain Data model can be represented as ...
Chapter 1 GRAPHICAL MODELS FOR UNCERTAIN DATA - UMD
a correlation may be represented using a joint probability distribution as shown ... uncertain data; (c) A joint probability function (factor) that represents the ...
Managing Uncertain Data: Probabilistic - Simon Fraser University
Managing uncertain data has been studied ever since the eighties last century from the ... tion II, we introduce existing models to represent uncertainty. Section III ...
Decision Trees for Uncertain Data
building algorithms to handle data tuples with uncertain values. Since processing ... having a class label and being represented by a feature vector, the task is to ...
Analysis of Uncertain Data: Tools for Representation and Processing
system for the analysis of incomplete and uncertain data, integrated with .... A. Uncertain values. We represent an uncertain number by a piecewise-uniform.
Working Models for Uncertain Data∗
that an uncertain relation represents a set of possible re- lation instances, rather ... ing uncertain data: intuitive models that appear to capture the most common ...
Uncertain<T>: A First-Order Type for Uncertain Data - Washington
uncertainty, but a does not necessarily represent the true value. Many programs treat ... about uncertain data with discrete types (floats, integers, and booleans).
Foundations of Uncertain-Data Integration - VLDB
sources of uncertain data may help resolve portions of the uncer- tainty, yielding more ... database represents a set of possible certain databases. (We do not.
Fast and Simple Relational Processing of Uncertain Data - MayBMS
That is, the results of such operations to the represented data should be again ... whether it represents uncertainty at the attribute-level or the tuple-level.
Classify Uncertain Data with Neural Network - Computer
uncertainty is to represent the uncertain range by its expectation value, and then ... uncertain data and it significantly outperformed the naïve neural network.
MANAGING AND MINING UNCERTAIN DATA - Charu Aggarwal
a number of challenges in terms of collecting, modeling, representing, query- ... on database issues for managing uncertain data, and mining issues with uncer-.
A Survey of Uncertain Data Algorithms and - Charu Aggarwal
provide a survey of uncertain data mining and management applications. We will explore the various ... represented by probability distributions rather than deter-.
Top-k Nearest Neighbor Search In Uncertain Data Series - VLDB
finding the top-k nearest neighbors in uncertain data series, which occur in ... searches on a dataset of uncertain data series representing the soil moisture at ...
A Survey of Uncertain Data Algorithms and Applications - IEEE Xplore
provide a survey of uncertain data mining and management applications. We will .... tuples representing object locations at different times, the locations of the ...
Maximum likelihood estimation from Uncertain Data in the Belief
theory has often been adopted as a formal framework for representing data uncertainty. Typically, an object is represented as a probability density function ( pdf).
4. Reasoning with Uncertainty I
4.0 Representation and Reasoning with Uncertainty. Issues in managing uncertainty. 1. How to represent uncertain data and knowledge. 2. How to combine two ...
Modifications of Uncertain Data: A Bayesian Framework for - JStor
erature for representing uncertain data by extending the relational model, primarily using ... (Data Uncertainty, Probabilistic Relational Model; Data Updating). 1.
Modifications of Uncertain Data: A Bayesian Framework for Belief
erature for representing uncertain data by extending the relational model, primarily using ... (Data Uncertainty; Probabilistic Relational Model; Data Updating). 1.
An Ontology-based Bayesian Network Approach for Representing
Network(BN) approach for representing the uncertainty in CPGs based ... from one step to the next only if there is no uncertain data in the former step. .
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