Results 1 to 10 of about 2,059,185 (160)
Cluster Validity Index for Uncertain Data Based on a Probabilistic Distance Measure in Feature Space [PDF]
Sensors, 2023 Cluster validity indices (CVIs) for evaluating the result of the optimal number of clusters are critical measures in clustering problems. Most CVIs are designed for typical data-type objects called certain data objects.
Changwan Ko +3 more
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A Possible World-Based Fusion Estimation Model for Uncertain Data Clustering in WBNs [PDF]
Sensors, 2021 In data clustering, the measured data are usually regarded as uncertain data. As a probability-based clustering technique, possible world can easily cluster the uncertain data.
Chao Li +4 more
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Bayesian clustering with uncertain data
PLOS Computational Biology, 2022 AbstractClustering is widely used in bioinformatics and many other fields, with applications from exploratory analysis to prediction. Many types of data have associated uncertainty or measurement error, but this is rarely used to inform the clustering.We present Dirichlet Process Mixtures with Uncertainty (DPMUnc), an extension of a Bayesian ...
Nicholls K, Kirk PDW, Wallace C.
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Range Queries on Uncertain Data [PDF]
Theoretical Computer Science, 2015 Given a set $P$ of $n$ uncertain points on the real line, each represented by its one-dimensional probability density function, we consider the problem of building data structures on $P$ to answer range queries of the following three types for any query ...
B Chazelle +8 more
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Uncertain Data Clustering-Based Distance Estimation in Wireless Sensor Networks [PDF]
Sensors, 2014 For communication distance estimations in Wireless Sensor Networks (WSNs), the RSSI (Received Signal Strength Indicator) value is usually assumed to have a linear relationship with the logarithm of the communication distance.
Qinghua Luo +3 more
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Utility-driven Data Analytics on Uncertain Data [PDF]
IEEE Systems Journal, 2019 Modern Internet of Things (IoT) applications generate massive amounts of data, much of it in the form of objects/items of readings, events, and log entries.
Chao, Han-Chieh +4 more
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Structurally Tractable Uncertain Data [PDF]
Proceedings of the 2015 ACM SIGMOD on PhD Symposium, 2015 Many data management applications must deal with data which is uncertain, incomplete, or noisy. However, on existing uncertain data representations, we cannot tractably perform the important query evaluation tasks of determining query possibility ...
Abiteboul S. +13 more
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GrCount: Counting method for uncertain data [PDF]
MethodsX, 2019 We report a method for counting uncertain data, i.e. observations that cannot be precisely associated to referents. We model data uncertainty through Possibility Theory and we develop the counting method so as to take into account the possibility ...
Corrado Mencar, Witold Pedrycz
doaj +2 more sources
CSQUiD: an index and non-probability framework for constrained skyline query processing over uncertain data [PDF]
PeerJ Computer ScienceUncertainty of data, the degree to which data are inaccurate, imprecise, untrusted, and undetermined, is inherent in many contemporary database applications, and numerous research endeavours have been devoted to efficiently answer skyline queries over ...
Ma'aruf Mohammed Lawal +4 more
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Extraction of Knowledge from Uncertain Data Employing Weighted Bipolar and Neutrosophic Soft Sets [PDF]
Neutrosophic Sets and Systems, 2023 The discovery of soft sets is accredited to Molodtsov. This theory can cope with difficult circumstances with a lot of ambiguity, like those where deciding is hard.
Sonali Priyadarsini +2 more
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