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Year of publication
Subject
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Artificial intelligence 2 Concepts 2 Data labeling 2 Forecasting model 2 Inverse document frequency (TFIDF) 2 Künstliche Intelligenz 2 MAximum resemblance data labeling (MARDL) technique 2 Machine learning 2 Prognoseverfahren 2 Semantic similarity 2 Static and dynamic document clustering 2 Term frequency 2 Algorithm 1 Algorithmus 1 Anomaly detection 1 Automatic dependent surveillance-broadcast data 1 Bayes-Statistik 1 Bayesian inference 1 Bayesian methods 1 Bevölkerungsentwicklung 1 Cluster analysis 1 Clusteranalyse 1 Commercial airplanes accident 1 Consumer behaviour 1 Data-labeling 1 Demographic development 1 Demographic prediction 1 Konsumentenverhalten 1 Prediction model 1 Regional cluster 1 Regionales Cluster 1 Social Web 1 Social web 1 Theorie 1 Theory 1 Time series analysis 1 Time-series analysis 1 Twitter 1 Weak supervision 1 Weightage assignment 1
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Online availability
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Free 4 CC license 2 Undetermined 1
Type of publication
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Article 5
Type of publication (narrower categories)
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Article in journal 4 Aufsatz in Zeitschrift 4 Article 1
Language
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English 5
Author
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Jayabharathy, Jayaraj 2 Kanmani, Selvadurai 2 Baesens, Bart 1 Divakaran, Vignesh 1 Harumi Veny 1 Jehoul, Astrid 1 Rana, Vipasha 1 Reusens, Manon 1 Reusens, Michael 1 Tonglet, Jonathan 1
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Published in...
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Decision Analytics 2 Data science and management : DSM 1 Top : an official journal of the Spanish Society of Statistics and Operations Research 1
Source
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ECONIS (ZBW) 4 EconStor 1
Showing 1 - 5 of 5
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An investigation of Frequentist and Ensemble Bayesian-aided techniques for prioritizing anomaly detection methods in time-series data
Divakaran, Vignesh; Rana, Vipasha - 2025
Accurately detecting anomalous points in time-series data is critical, as false positives can mislead business stakeholders, waste valuable resources, and diminish the overall impact of the detection system. While various statistical and machine learning techniques are employed to flag potential...
Persistent link: https://www.econbiz.de/10015420328
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Development of a machine learning model for predicting abnormalities of commercial airplanes
Harumi Veny - In: Data science and management : DSM 7 (2024) 3, pp. 256-265
, deployment, and testing. The data labeling process was based on the rules framed by the international civil aviation organization …
Persistent link: https://www.econbiz.de/10015078215
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Predicting the demographics of Twitter users with programmatic weak supervision
Tonglet, Jonathan; Jehoul, Astrid; Reusens, Manon; … - In: Top : an official journal of the Spanish Society of … 32 (2024) 3, pp. 354-390
Persistent link: https://www.econbiz.de/10015188198
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Correlated concept based dynamic document clustering algorithms for newsgroups and scientific literature
Jayabharathy, Jayaraj; Kanmani, Selvadurai - In: Decision Analytics 1 (2014), pp. 1-21
Increase in the number of documents in the corpuses like News groups, government organizations, internet and digital libraries, have led to greater complexity in categorizing and retrieving them. Incorporating semantic features will improve the accuracy of retrieving documents through the method...
Persistent link: https://www.econbiz.de/10010338776
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Cover Image
Correlated concept based dynamic document clustering algorithms for newsgroups and scientific literature
Jayabharathy, Jayaraj; Kanmani, Selvadurai - In: Decision Analytics 1 (2014) 1, pp. 1-21
Increase in the number of documents in the corpuses like News groups, government organizations, internet and digital libraries, have led to greater complexity in categorizing and retrieving them. Incorporating semantic features will improve the accuracy of retrieving documents through the method...
Persistent link: https://www.econbiz.de/10011656505
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