Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 41 for “"Uncertain Data"”.
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Probabilistic skylines on uncertain data
… multi-criteria decision making applications. The data in some of these applications are inherently uncertain due to various factors. Although a considerable amount of research has been dedicated separately to efficient skyline computation, as well as modeling uncertain data and answering some …
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Sequential pattern mining with uncertain data
… based services, have led to the proliferation of uncertain data. However, traditional data mining algorithms are usually inapplicable in uncertain data because of its probabilistic nature. Uncertainty has to be carefully handled; otherwise, it might significantly downgrade the quality of …
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Efficient Algorithms for Querying Large and Uncertain Data
… problem in many research fields including database systems, data mining, and geometric computing. The goal is to preprocess input data into an index to efficiently answer queries over data. In many real applications we need to handle a large amount of data or/and data that are ambiguous …
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Monitoring uncertain data for sensor-based real-time systems
… of user-defined constraints on time-varying data is a fundamental functionality in various sensor-based real-time applications such as environmental monitoring, process control, location-based surveillance, etc. In general, these applications track real-world objects and constantly evaluate …
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Visual query tools for uncertain data in space and time
… to be designed to cope with different degrees of uncertainty in data, both in time and space. One of our initial ideas was to use a geographic map to drive the interface to the system. Items were plotted as a point on the map at some random location which fell within the given location of …
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Flexible Statistical Models for Imprecise and Uncertain Data: A New Generalization Approach
… distribution allows the model to adapt to data characteristics that the original (or "base") distribution ν may not fully capture. We show that this generalized distribution corresponds to that of X + U, where X ~ ν and U is uniformly distributed over A, with X and U independent. This …
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Database Support for Uncertain Data Analysis and Correlation Handling in Scenario Planning
Die Bedingungen, unter denen Unternehmen ihre Aktivitäten planen, unterliegen in der heutigen Zeit einem sich immer weiter beschleunigenden Wandel. In Planungsprozessen ist es daher wichtig, die Unstetigkeit und Unsicherheit von Einflussgrößen, welche das Erreichen angestrebter Ziele beeinflussen …
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Machine learning for problems with missing and uncertain data with applications to personalized medicine
… real-world applications, we frequently encounter data which include missing and uncertain values. This thesis explores the problem of learning from missing and uncertain data with a focus on applications in personalized medicine. In the first chapter, we present a framework for classification when …
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Type-2 Fuzzy Probabilistic System for Proactive Monitoring of Uncertain Data-intensive Seasonal Time Series
… probabilistic system for proactive monitoring of uncertain data-intensive seasonal time series in both theoretical and practical implications. In this thesis, a new form of representation, J˜-plane, is proposed for concave and unnormalized type-2 fuzzy events as well as convex and normalized ones, …
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Type-2 Fuzzy Probabilistic System for Proactive Monitoring of Uncertain Data-intensive Seasonal Time Series
… probabilistic system for proactive monitoring of uncertain data-intensive time series in both theoretical and practical implications. In this thesis, a new form of representation, J-plane, is proposed for concave and un-normalized type-2 events as well as convex and normalizes ones, which …
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Evaluation of Expressions with Uncertainty in Databases
… etc. Integrating support for expressions in a database management system (DBMS) provides an efficient and scalable platform for applications that use Expressions. Support from uncertain data and expressions can be beneficial but not currently provided for. In this thesis, we investigate how …
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Summarizing data with representative patterns
The advance of technology makes data acquisition and storage become unprecedentedly convenient. It contributes to the rapid growth of not only the volume but also the veracity and variety of data in recent years, which poses new challenges to the data mining area. For example, uncertain data mining …
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Economic Order Quantity (EOQ) Measurement Using Intelligent Systems Techniques
… (IS) techniques have been used to reduce the uncertainty in complex problems. Because Intelligent Systems can be taught and predict the results, operations’ knowledge can be implemented into the systems. This Thesis is related to the application of Intelligent Systems to the solution of …
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Graph database, and its tale on uncertainty
… models utilise Certain Graphs, in some cases, uncertainty on data is inherent, thus they are more precise to be modelled as Uncertain Graphs. This thesis studies three fundamental problems in processing and analysing both Certain Graphs and Uncertain Graphs. These problems are: (1) Uncertain …
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STRONGLY CORRELATED INTERACTING PARTICLE SYSTEMS AND THEIR APPLICATIONS
… for modeling diverse, structured, and uncertain data. The interactions between points often encode notions of repulsion or diversity, which are valuable in machine learning for improving generalization and reducing redundancy. The aim of this thesis is to develop a comprehensive theory …
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Game Theoretic Approaches to Three-Way Decisions
Uncertainty and imprecision are intrinsic features of available data about the real world. An object is uncertain if we cannot make sure decisions about if the object belongs to a target concept. Three-way decisions provide three options, i.e., accept, reject, and non-commitment, in the face of …
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Mode identification using stochastic hybrid models with applications to conflict detection and resolution
… introducing a measure of probabilistic uncertainty in any decision aid fashioned to assist air traffic controllers. The interaction of the continuous dynamics of the aircraft, used for prediction purposes, with the discrete conflict detection logic gives rise to the hybrid nature of the …
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GeneSet MAPR: Characterization of gene sets through heterogeneous network patterns
Often, machine learning and big data concepts are applied to problems without a proper appreciation of their limitations or domain context. At the same time there is a growing appreciation for the ability of networks to represent more complex connections between data points than previous …
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An Abstract Algebraic Theory of L-Fuzzy Relations for Relational Databases
Classical relational databases lack proper ways to manage certain real-world situations including imprecise or uncertain data. Fuzzy databases overcome this limitation by allowing each entry in the table to be a fuzzy set where each element of the corresponding domain is assigned a membership …
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Probabilistic risk analysis of restructured electric power systems : implications for reliability analysis and policies
… of complex systems often depends on uncertain data and limited models that reflect incomplete knowledge. This thesis confronts the problem of evaluating the reliability of a complex engineering system that responds to the behavior of decentralized economic agents. Using the example of …
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