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An Introduction to Uncertain Data Algorithms and Applications
[chapter]
2009
Advances in Database Systems
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As a result there is a need for tools and techniques for mining and managing uncertain data. ...
In recent years, uncertain data has become ubiquitous because of new technologies for collecting data which can only measure and collect the data in an imprecise way. ...
The US and UK governments are authorized to reproduce and distribute reprints for Government purposes. ...
doi:10.1007/978-0-387-09690-2_1
fatcat:j2mtnsupgzdu3edwmhaoinew5m
Orion 2.0
2008
Proceedings of the 2008 ACM SIGMOD international conference on Management of data - SIGMOD '08
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Orion is a state-of-the-art uncertain database management system with built-in support for probabilistic data as first class data types. ...
We demonstrate how Orion simplifies the design and enhances the capabilities of two example applications: managing sensor data (continuous uncertainty) and inferring missing values (discrete uncertainty ...
types [2, 6] . • Integration with PL/R for graphical visualization of and statistical inference over uncertain data [4] . ...
doi:10.1145/1376616.1376744
dblp:conf/sigmod/SinghMMPHS08
fatcat:wtqanq7n5nfcxlynirpidutoly
Increasing representational power and scaling reasoning in probabilistic databases
2010
Proceedings of the 13th International Conference on Database Theory - ICDT '10
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Increasing numbers of real-world application domains are generating data that is inherently noisy, incomplete, and probabilistic in nature. ...
Unlike the other recent work on probabilistic databases, PrDB is designed to represent uncertain data with rich correlation structures, and it uses probabilistic graphical models as the basic representation ...
I will use the PrDB probabilistic data management system being developed at the University of Maryland as a case study for this purpose [4, 7, 12] . ...
doi:10.1145/1804669.1804671
dblp:conf/icdt/Deshpande10
fatcat:q5bd6xox2zgjzorpgodr7cdphm
Subject index, volume 17, 1997
1997
International Journal of Approximate Reasoning
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directed
cyclic graphical (DCG) model,
17:107
Sensitivity analysis, Bayesian networks
extension to probability intervals,
17:37
d-Separation, Markov equivalent for
directed cyclic graphical (DCG ...
, 17:433
Non-recursive structural equation model,
Markov equivalent for directed cyclic
graphical (DCG) model, 17:107
Nonlinear scaling, fuzzy logic control and
genetic algorithms, 17:327
Optimization ...
doi:10.1016/s0888-613x(97)00061-3
fatcat:76zysbtsfjfb3mhqs2sfia5pvu
Handling Uncertainty in Database: An Introduction and Brief Survey
2015
Computer and Information Science
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To deal with this data, database management system should have special features to handle uncertain data. ...
In the last years, uncertainty management became an important aspect as the presence of uncertain data increased rapidly. ...
The broader taxonomy of the current research in managing uncertain data can be classified into two main areas: The first is modeling uncertain data. ...
doi:10.5539/cis.v8n3p119
fatcat:z4yofk2dofeylgkzltl7qhxi3u
Operational tools to help stakeholders to protect and alert municipalities facing uncertainties and changes in karst flash floods
2015
Proceedings of the International Association of Hydrological Sciences
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In fact, the forecasting services, the municipalities, and the civil security have difficulties in running and interpreting data-consuming models in real-time, above all if data are uncertain or non-existent ...
These tools aim at planning real-time decisions given little, changing, and uncertain information available, which are: (i) a hydrological graphical tool (abacus) to estimate flood peak discharge from ...
), and the municipalities of Reynes (66), Saint-André (66) and Mireval (34) for their experience feedback. ...
doi:10.5194/piahs-370-201-2015
fatcat:b4viukk7ffcmlowa7oje2ppcma
Trajectory Data Fuzzy Modeling : Ambulances Management Use Case
2014
International Journal of Database Management Systems
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Data captured through mobile devices and sensors represent valuable information for organizations. This collected information comes in huge volume and usually carry uncertain data. ...
In this paper, we will show the benefits of fuzzy logic in solving the challenges related to mobility data by integrating fuzzy concepts into the conceptual and the logical model. ...
In order to deal with complex objects and imprecise and uncertain information in conceptual data modeling, one needs fuzzy extension to conceptual data models, which allow imprecise and uncertain information ...
doi:10.5121/ijdms.2014.6501
fatcat:akure7jgbvekxlsut6yivrprmy
Managing Uncertain Data: Probabilistic Approaches
2008
2008 The Ninth International Conference on Web-Age Information Management
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For instance, the temperature may be 38 centigrade [34] . Managing uncertain data is not well supported by conventional database systems. ...
The other systems managing uncertain data may be found in [45] , [50] , [52] .
V. ...
doi:10.1109/waim.2008.42
dblp:conf/waim/ZhangLPZ08
fatcat:acm5x2kacbh77lyjixptdlc7je
Drawing the Gaps: Graphical Methods for Representing Geospatial and Temporal Uncertainty with Cultural Artifacts
[article]
2008
International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments
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We then argue that the 3D display in GIS system should use specific graphical styles to depict different types of data uncertainty. ...
Representing uncertain data in the same context with accurate data requires contrasting between the two as well as keeping the representation as perceptually facile as possible. ...
It is natural to expect the capability for 3D browsing of locations on the Earth in any time period. Source data is often incomplete, contradictory, or otherwise uncertain. ...
doi:10.2312/pe/ve2008posters/025-029
dblp:conf/egve/TrutoiuOST08
fatcat:bpec2v32ajfmzdux5w2a3fhnsm
A Modified Flood Severity Assessment for Enhanced Decision Support: Application to the Boscastle Flash Flood of 2004
2012
Weather and forecasting
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Improvements are made to the index through incorporation of parameter uncertainties, managing data absence, and clearer graphical communication. ...
The motive for proposing these changes is to better inform flood managers during the development of a flash flood that may require an emergency response. ...
APPENDIX
Data Communication The technique outlined is advantageous largely due to its simplicity. ...
doi:10.1175/waf-d-12-00033.1
fatcat:i2giihbkpnccdex5r6dbjxuody
DEMO: Real-time Edge Analytics and Concept Drift Computation for Efficient Deep Learning From Spectrum Data
2020
IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)
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Cloud managed wireless network resource configuration platforms are being developed for efficient network utilization. ...
A laptop is also used to develop a deep learning based model for prediction of future CU values. ...
These results will be demonstrated graphically in real-time for the INFOCOM demo. ...
doi:10.1109/infocomwkshps50562.2020.9162969
dblp:conf/infocom/0001LSM20
fatcat:il3n25uf2zauhesuawm4ujnr5i
HARMONIZED SCHEME FOR DATA MINING TECHNIQUE TO PROGRESS DECISION SUPPORT SYSTEM IN AN UNCERTAIN SITUATION
2012
International Journal of Research in Engineering and Technology
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The proposed system will support top level management to make a good decision in any time under any uncertain environment. ...
They serve as an integrated repository for internal and external data-intelligence critical to understanding and evaluating the business within its environmental context. ...
Fig 3: Simple graphical for clustering data [7] [8] Define that "Clustering involves identifying a finite set of categories or segments "clusters" to describe the data according to a certain metric" ...
doi:10.15623/ijret.2012.0103024
fatcat:ri5oqxwldzbejdvnryoeuf7n5a
An extendable framework for managing uncertain spatio-temporal data
2014
Proceedings of the 2014 ACM SIGMOD international conference on Management of data - SIGMOD '14
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The UST-framework can be used to obtain a deeper intuition of the quality of spatio-temporal data models. ...
Such models aim at estimating the position of a spatio-temporal object at a time where the object's position is not explicitly known, for example by using both historic (traffic-) pattern information, ...
data -an aspect raising an imminent need for scalable and flexible data management. ...
doi:10.1145/2588555.2594523
dblp:conf/sigmod/EmrichFKNRZ14
fatcat:7qxi36kxsndynpn6tuhlabkh7e
A hybrid GIS-supported watershed modelling system: application to the Lake Erhai basin, China
1999
Hydrological Sciences Journal
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The GIS technology is used for managing spatial and non-spatial data, linking models, and providing interfaces between the models and their users. ...
alternative management practices. ...
The authors are grateful to the anonymous reviewers for their insightful comments and suggestions. ...
doi:10.1080/02626669909492255
fatcat:33wgrqmjbbdydi7ki5oeklleum
A timed colored Petri nets modeling for dynamic workflow in product development process
2008
Computers in industry (Print)
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These workflow patterns can be microscopically handled and can be adapted for the dynamic and uncertain environment related to data and time. ...
Product development process (PDP) is one of the most important business processes for enterprises but it has difficulty in workflow management because of the uncertain and dynamic characteristics. ...
Workflow patterns formed by function primitives and transition behaviors are microscopically handled and can be adapted for the dynamic and uncertain environment related to data and time. ...
doi:10.1016/j.compind.2007.06.016
fatcat:7d2kz443pnhetplyqxnx3snnuq
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