Results 61 to 70 of about 2,059,205 (180)
Complexity Analysis Approach for Prefabricated Construction Products Using Uncertain Data Clustering
, 2017 This paper proposes an uncertain data clustering approach to quantitatively analyze the complexity of prefabricated construction components through the integration of quality performance-based measures with associated engineering design information.
AbouRizk, Simaan M. +3 more
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Mining and visualizing uncertain data objects and named data networking traffics by fuzzy self-organizing map [PDF]
, 2014 Uncertainty is widely spread in real-world data. Uncertain data-in computer science-is typically found in the area of sensor networks where the sensors sense the environment with certain error.
Guerrero Zapata, Manel, Karami, Amin
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Trajectory Mining Using Uncertain Sensor Data
IEEE Access, 2018 Trajectory mining is an interesting data mining problem. Traditionally, it is either assumed that the time-ordered location data recorded as trajectories are either deterministic or that the uncertainty, e.g., due to equipment or technological ...
Muhammad Muzammal +5 more
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Data-driven Variable Speed Limit Design for Highways via Distributionally Robust Optimization
, 2018 This paper introduces an optimization problem (P) and a solution strategy to design variable-speed-limit controls for a highway that is subject to traffic congestion and uncertain vehicle arrival and departure.
Fooladivanda, Dariush +2 more
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The Numerical Probabilistic Analysis of Optimization Problems Hydropower
Известия Иркутского государственного университета: Серия "Математика", 2015 The paper considers the problem of optimizing the hydroelectric power generation in the face of uncertainty of the input data. To solve optimization problems with random hydropower input data we used numerical probability analysis.
O.A. Popova
doaj
An Experimental Study of Pedestrian Congestions: Influence of Bottleneck Width and Length [PDF]
, 2009 The placement and dimensioning of exit routes is informed by experimental data and theoretical models. The experimental data is still to a large extent uncertain and contradictory. In this contribution an attempt is made to understand and reconcile these
Klingsch, Wolfram +5 more
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Online Computing Quantile Summaries Over Uncertain Data Streams
IEEE Access, 2019 Quantile summarization is a useful tool in data streams management and mining that can efficiently capture the distribution of the data. A quantile of a sequence of points is the point with a given rank in the sequence.
Chunquan Liang, Mei Li, Bin Liu
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Uncertain data analysis algorithm based on fast Gaussian transform
Tongxin xuebao, 2017 The effect of the uncertainties needs to be taken full advantage during uncertain data clustering.An uncertain data clustering algorithm based on fast Gaussian transform was proposed,to solve the problems about the impact on the accuracy of clustering ...
Rong-hua CHI +4 more
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An Improved Data Model for Uncertain Data [PDF]
Mehran University Research Journal of Engineering and Technology, 2016 Uncertain data can be categorized as imprecise data and probabilistic data. In each of these categories, the uncertainty can be found at different granularity levels.
Umar Hayat, Muhammad Usman Ghani Khan
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MathematicsAs an information granulation technology, clustering plays a pivotal role in unsupervised learning, serving as a fundamental cornerstone for various data mining techniques. The effective and accurate classification of data is a central focus for numerous
Weiwei Mao, Kaijie Xu
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