Results 51 to 60 of about 2,059,205 (180)

A Systematic Literature Review of Skyline Query Processing Over Data Stream

IEEE Access, 2023
Recently, skyline query processing over data stream has gained a lot of attention especially from the database community owing to its own unique challenges.
Mudathir Ahmed Mohamud, Hamidah Ibrahim, Fatimah Sidi, Siti Nurulain Mohd Rum, Zarina Binti Dzolkhifli, Zhang Xiaowei, Ma'aruf Mohammed Lawal   +6 more
doaj   +1 more source

Model updating using uncertain experimental modal data [PDF]

, 2011
The propagation of parameter uncertainty in structural dynamics has become a feasible method to determine the probabilistic description of the vibration response of industrial scale nite element models.
Govers, Yves, Link, Michael
core  

Preprocessing under uncertainty [PDF]

, 2015
In this work we study preprocessing for tractable problems when part of the input is unknown or uncertain. This comes up naturally if, e.g., the load of some machines or the congestion of some roads is not known far enough in advance, or if we have to ...
Fafianie, Stefan, Kratsch, Stefan, Quyen, Voung Anh   +2 more
core   +2 more sources

An Efficient Skyline Model for Processing Multiple Continuous Skyline Queries Over Uncertain Data Stream

IEEE Access
Skyline queries based on pareto dominance have gained significant attention for their ability to effectively identify interesting objects from large multi-dimensional datasets.
Mudathir Ahmed Mohamud, Hamidah Ibrahim, Fatimah Sidi, Siti Nurulain Mohd Rum, Zarina Binti Dzolkhifli, Zhang Xiaowei, Mohamed Hassan Ahmed   +6 more
doaj   +1 more source

Improvements on the k-center problem for uncertain data

, 2017
In real applications, there are situations where we need to model some problems based on uncertain data. This leads us to define an uncertain model for some classical geometric optimization problems and propose algorithms to solve them. In this paper, we
Alipour, Sharareh, Jafari, Amir
core   +1 more source

Certainty Closure: Reliable Constraint Reasoning with Incomplete or Erroneous Data [PDF]

, 2006
Constraint Programming (CP) has proved an effective paradigm to model and solve difficult combinatorial satisfaction and optimisation problems from disparate domains. Many such problems arising from the commercial world are permeated by data uncertainty.
Benhamou F., Benhamou F., Benoist T., Bent R., Boerner F., Bordeaux L., Carmen Gervet, Cheadle A. M., Christie M., Dovier A., Elishakoff I., Fargier H., Fargier H., Fowler D. W., Gent I., Gervet C., Goldschmidt O., Mamoulis N., Manandhar S., Narin'yani A., Neil Yorke-Smith, Oettli W., Ratschan S., Simonis H., Yorke-Smith N., Yorke-Smith N., Zhang Y.   +26 more
core   +1 more source

A Performance Analysis of Prediction Techniques in Handling High-Dimensional Uncertain Data for the Application of Skyline Query Over Data Stream

IEEE Access
The proliferation of high-dimensional data in many advanced database applications is a result of today’s technological advancements. These data points that correspond to objects are often without a precise description, which make their ...
Mudathir Ahmed Mohamud, Hamidah Ibrahim, Fatimah Sidi, Siti Nurulain Mohd Rum, Zarina Binti Dzolkhifli, Zhang Xiaowei   +5 more
doaj   +1 more source

Incomplete neighbourhood multi-granulation decision-theoretic rough set in the hybrid-valued decision system

The Journal of Engineering, 2019
It is an important subject to mine valuable knowledge from complex and massive data in the era of big data. Rough set theory is a new mathematical tool for dealing with uncertain and inaccurate data, decision-theoretic rough set model (DTRS), as an ...
Jiajun Chen, Shuhao Yu, Wenjie Wei, Zhongrong Shi   +3 more
doaj   +1 more source

Uncertain Groupings: Probabilistic Combination of Grouping Data [PDF]

, 2015
A bioinformatician has a large number of homology data sources to choose from. These data sources need to be combined before a query can be posed over the combined data. We propose a generic probabilistic approach to combining grouping data from multiple sources.
Wanders, Brend, van Keulen, Maurice, van der Vet, Paul   +2 more
openaire   +2 more sources

Neutrosophic Extension of Maxwell Length-Biased Distribution and Its Application in Energy Sector [PDF]

Neutrosophic Sets and Systems
The length-biased distribution has important applications in modeling economic, reliability and energy data, especially when sampling the data preferentially toward the larger values.
Afrah Al-Bossly, Zahid Khan
doaj   +1 more source