Results 261 to 270 of about 82,469 (304)

Querying Imprecise Data in Sensor Databases

The Ninth International Conference on Mobile Data Management (mdm 2008), 2008
Sensors are used to monitor some physical phenomena such as contamination, climate, building, and so on. The sensors collect and communicate their readings to the sensor databases for making decisions and answering various user queries. Due to continuous changes and possible errors in these values, the data values recorded in sensor databases may ...
Zong Min Ma 0001, Li Yan 0001
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Data Hierarchies for Generalization of Imprecise Data

2023
Issues related to managing imprecise data in areas as diverse as spatial and environmental data, forensic evidence, and economics must be dealt with for effective decision making. To make use of such information, the authors settle on how the various pieces of data can be used to make a decision or take an action.
Frederick Petry, Ronald R. Yager
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Statistical Diagnosis from Imprecise Data

Biometrika, 1979
SUMMARY The fact that diagnostic measurements are often subject to error, with the extent of the imprecision varying from case to case, is largely ignored in current methodology of statistical diagnosis. Models taking full account of such imprecision are proposed and the necessary methods developed.
Aitchison, J., Lauder, I. J.
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Regression analysis with imprecise data

2013
Statistical methods usually require that the analyzed data are correct and precise observations of the variables of interest. In practice, however, often only incomplete or uncertain information about the quantities of interest is available. The question studied in the present thesis is, how a regression analysis can reasonably be performed when the ...
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Data Mining for Imprecise Temporal Associations

Sixth International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing and First ACIS International Workshop on Self-Assembling Wireless Networks (SNPD/SAWN'05), 2005
The field of data mining is dedicated to the analysis of data in order to find underlying connections and the discovery of new patterns. Since the volume of data to be analyzed is sometimes quite significant, there is the need for efficient data mining algorithms to be implemented. The market-basket algorithm can represent a breakthrough in data mining
Giovanni Vincenti, Robert J. Hammell II, Goran Trajkovski   +2 more
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Imprecise Data Handling with MTE

2019
Measurements, indications and forecasts are randomly and very often systematically corrupted. The distribution of stochastic distortions is empirically evaluated; an estimate is usually given by histogram. Empirical distributions available from various sources differ. Discrepancies are due to testing methodology, conditions of experiments etc. Whatever
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Disjunctive Kriging with Hard and Imprecise Data

Mathematical Geology, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Imprecision in Finite Resolution Spatial Data

GeoInformatica, 1998
An important component of spatial data quality is the imprecision resulting from the resolution at which data are represented. Current research on topics such as spatial data integration and generalization needs to be well-founded on a theory of multi-resolution.
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Linear programming with imprecise data

Civil Engineering Systems, 1983
Abstract Conventional linear programming requires the deterministic specification of all the relevant data but generally this is only known imprecisely. Several ways in which imprecision may be incorporated into the programs are discussed. These include proximate programming, inexact programming and fuzzy programming.
Poon-Hwei Chuang, John Munro
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Decision Support with Imprecise Data for Consumers

2002
Only imperfect data is available in many decision situations, which therefore plays a key role in the decision theory of economic science. It is also of key interest in computer science, among others when integrating autonomous information systems: the information in one system is often imperfect from the view of another system.
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