Results 41 to 50 of about 2,059,205 (180)
A review on big data based parallel and distributed approaches of pattern mining
Journal of King Saud University: Computer and Information Sciences, 2022 Pattern mining is a fundamental technique of data mining to discover interesting correlations in the data set. There are several variations of pattern mining, such as frequent itemset mining, sequence mining, and high utility itemset mining. High utility
Sunil Kumar, Krishna Kumar Mohbey
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Top-k Edge Query Algorithm with Maximum Influence on Uncertain Graph [PDF]
Jisuanji gongcheng, 2018 Recently,researches on uncertain graphs mostly ignore the influence of edges when information spreading to the networks,meanwhile these influential edges could settle with many practical problems by querying and applying to them.So that this paper ...
HU Yang,HUANG Jinjing,LIU Guangfu,ZHAO Lei
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One game show, two boys, two aces, three prisoners - what’s an AI to do?
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2021 We review a quartet of widely discussed probability puzzles – Monty Hall, the three prisoners, the two boys, and the two aces. Pearl explains why the Monty Hall problem is counterintuitive using a causal diagram.
Eric Neufeld, Sonje Finnestad
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Neutrosophic CRITIC MCDM for Prosthesis Rehabilitation, its Applications and Technologies [PDF]
Neutrosophic Sets and SystemsProsthesis rehabilitation plays a crucial role in supporting amputees to return to their normal life through increasing mobility, utility, and comfort. Prostheses design during production in VR- Metaverse depends on clients’ requirements and many other ...
Huda E. Khalid +5 more
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An Uncertain Data Integration System [PDF]
, 2012 Data integration systems offer uniform access to a set of autonomous and heterogeneous data sources. An important task in setting up a data integration system is to match the attributes of the source schemas. In this paper, we propose a data integration system which uses the knowledge implied within functional dependencies for matching the source ...
Ayat, Naser +3 more
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Algorithms, 2015 Big data are everywhere as high volumes of varieties of valuable precise and uncertain data can be easily collected or generated at high velocity in various real-life applications.
Fan Jiang, Carson K. Leung
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Uncertain Data Envelopment Analysis for Cross Efficiency Evaluation with Imprecise Data
Mathematics, 2022 Self evaluation and peer evaluation in data envelopment analysis (DEA) are effective means to comprehensively reflect the efficiencies of decision-making units (DMUs).
Bao Jiang, Enxin Chi, Jian Li
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Efficient Subgraph Similarity Search on Large Probabilistic Graph Databases [PDF]
, 2012 Many studies have been conducted on seeking the efficient solution for subgraph similarity search over certain (deterministic) graphs due to its wide application in many fields, including bioinformatics, social network analysis, and Resource Description ...
Chen, Lei +3 more
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A New Approach to Solve Fuzzy Data Envelopment Analysis Model Based on Uncertainty
IEEE Access, 2020 Many problems in operations research including problems from management, production planning and scheduling, transportation, location, and many others necessitate decision making in the presence of uncertainty.
Maryam Olfati +3 more
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Naive bayes classification of uncertain data [PDF]
, 2009 Traditional machine learning algorithms assume that data are exact or precise. However, this assumption may not hold in some situations because of data uncertainty arising from measurement errors, data staleness, and repeated measurements, etc.
Chen, X +5 more
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