Efficiently mining erasable stream patterns for intelligent systems over uncertain data
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22269
Abstract: Data mining is a method for extracting useful information that is necessary for a system from a database. As the types of data processed by the system are diversified, the transformed pattern mining techniques for… read more here.
Keywords: intelligent systems; pattern mining; uncertain data; erasable pattern ... See more keywords
Validity indices for clusters of uncertain data objects
Sign Up to like & getrecommendations! Published in 2021 at "Annals of Operations Research"
DOI: 10.1007/s10479-018-3043-4
Abstract: Clustering validity indices are the main tools for evaluating the quality of formed clusters and determining the correct number of clusters. They can be applied on the results of clustering algorithms to validate the performance… read more here.
Keywords: data objects; clustering validity; clusters uncertain; uncertain data ... See more keywords
Integration of Uncertain Data in Geostatistical Modelling
Sign Up to like & getrecommendations! Published in 2017 at "Mathematical Geosciences"
DOI: 10.1007/s11004-016-9667-5
Abstract: Most geostatistical estimation and simulation methodologies assume the experimental data as hard measurements, meaning that the measures of a given property of interest are not associated with uncertainty. The challenge of integrating uncertain experimental data… read more here.
Keywords: methodology; uncertain data; experimental data; integration uncertain ... See more keywords
Uncertain Data Clustering Based on Probability Distribution in Obstacle Space
Sign Up to like & getrecommendations! Published in 2020 at "Wireless Personal Communications"
DOI: 10.1007/s11277-019-06980-0
Abstract: In the case of current technology, most of the measurements are focused on geometric distance, and the distribution of data is not considered. In order to compensate for this shortcoming of geometric distance measurement, this… read more here.
Keywords: algorithm; obstacle space; uncertain data; data clustering ... See more keywords
Three-Way Image Classification with Evidential Deep Convolutional Neural Networks
Sign Up to like & getrecommendations! Published in 2021 at "Cognitive Computation"
DOI: 10.1007/s12559-021-09869-y
Abstract: The farfetched certain classification of uncertain data suffers serious risks. Three-Way Decision (3WD) theory is utilized to implement uncertain data classification methods. Three-way uncertain data classification methods facilitate reducing decision risk and involving human–machine coordination… read more here.
Keywords: deep convolutional; image; uncertain data; classification ... See more keywords
Secure and Efficient ${K}$ Nearest Neighbor Query Over Encrypted Uncertain Data in Cloud-IoT Ecosystem
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2019.2932775
Abstract: Uncertain data pervades many fields, including environmental monitoring, the monitoring of animal migrations, and urban warfare. Such uncertain data collected by field devices, such as Internet of Things (IoT) and Internet of Battlefield Things (IoBT)… read more here.
Keywords: secure efficient; cloud; query; uncertain data ... See more keywords
A Provably Secure and Efficient Range Query Scheme for Outsourced Encrypted Uncertain Data From Cloud-Based Internet of Things Systems
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3088296
Abstract: The outsourcing of data is becoming increasingly commonplace as data is constantly been synchronized between user systems (e.g., personal computers and sensor devices) and cloud computing servers. However, to ensure data privacy, it is necessary… read more here.
Keywords: efficient range; secure efficient; uncertain data; scheme ... See more keywords
Utility-Driven Data Analytics on Uncertain Data
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Systems Journal"
DOI: 10.1109/jsyst.2020.2979279
Abstract: Modern Internet of Things (IoT) applications generate massive amounts of data, much of them in the form of objects/items of readings, events, and log entries. Specifically, most of the objects in these IoT data contain… read more here.
Keywords: data analytics; analytics uncertain; driven data; utility driven ... See more keywords
Interpretable Ensembles of Classifiers for Uncertain Data with Bioinformatics Applications.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE/ACM transactions on computational biology and bioinformatics"
DOI: 10.1109/tcbb.2022.3218588
Abstract: Data uncertainty remains a challenging issue in many applications, but few classification algorithms can effectively cope with it. An ensemble approach for uncertain categorical features has recently been proposed, achieving promising results. It consists in… read more here.
Keywords: interpretable ensembles; classifiers uncertain; bioinformatics applications; data bioinformatics ... See more keywords
A Constrained Parametric Approach for Modeling Uncertain Data
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2021.3134797
Abstract: Data obtained from the real-world tends to be uncertain: Measurement inaccuracies, variability in opinions, and human errors are just some of the reasons that make the information collection process noisy. In recent years, fuzzy sets… read more here.
Keywords: fuzzy sets; constrained parametric; uncertain data; fuzzy set ... See more keywords
Uncertain Data Clustering in Distributed Peer-to-Peer Networks
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2017.2677093
Abstract: Uncertain data clustering has been recognized as an essential task in the research of data mining. Many centralized clustering algorithms are extended by defining new distance or similarity measurements to tackle this issue. With the… read more here.
Keywords: peer peer; uncertain data; distributed peer; data clustering ... See more keywords