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A patent search strategy based on machine learning for the emerging field of service robotics
Kreuchauff, Florian Heiko; Korzinov, Vladimir V. - 2015
) facilitates evolutionary changes. Based upon a small core set of worldwide service robotics patent applications we derive apt n …
Persistent link: https://www.econbiz.de/10011342183
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Process mining through artificial neural networks and support vector machines : a systematic literature review
Maita, Ana Rocío Cárdenas; Martins, Lucas Corrêa; … - In: Business process management journal 21 (2015) 6, pp. 1391-1415
Persistent link: https://www.econbiz.de/10011487995
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Application of support vector machine for Arabic sentiment classification using Twitter-based dataset
Alyami, Sarah N.; Olatunji, Sunday O. - In: Journal of information & knowledge management : JIKM 19 (2020) 1, pp. 2040018-1-2040018-13
Persistent link: https://www.econbiz.de/10012292664
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Predictive analysis and modelling football results using machine learning approach for English Premier League
Baboota, Rahul; Kaur, Harleen - In: International journal of forecasting 35 (2019) 2, pp. 741-755
Persistent link: https://www.econbiz.de/10012300725
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Predicting the likelihood of dividend payment from Indonesian public companies with data mining methods
Kosala, Raymond - In: International journal of business information systems : … 26 (2017) 2, pp. 139-150
Persistent link: https://www.econbiz.de/10011856393
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Classifying businesses by economic activity using web-based text mining
Roelands, Maarten; Delden, Arnout van; Windmeijer, Dick - 2017
Persistent link: https://www.econbiz.de/10011756363
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Estimation of cross-lingual news similarities using text-mining methods
Wang, Zhouhao; Liu, Enda; Sakaji, Hiroki; Ito, Tomoki; … - In: Journal of risk and financial management : JRFM 11 (2018) 1, pp. 1-13
In this research, two estimation algorithms for extracting cross-lingual news pairs based on machine learning from financial news articles have been proposed. Every second, innumerable text data, including all kinds news, reports, messages, reviews, comments, and tweets are generated on the...
Persistent link: https://www.econbiz.de/10011855132
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A big data analytics approach for construction firms failure prediction models
Alaka, Hafiz; Oyedele, Lukumon; Owolabi, Hakeem; … - In: IEEE transactions on engineering management : EM 66 (2019) 4, pp. 689-698
Persistent link: https://www.econbiz.de/10012129927
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Detecting corporate tax evasion using a hybrid intelligent system : a case study of Iran
Rahimikia, Eghbal; Mohammadi, Shapour; Rahmani, Teymur; … - In: International journal of accounting information systems 25 (2017), pp. 1-17
Persistent link: https://www.econbiz.de/10011730014
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A comparative assessment of machine learning methods for predicting housing prices using Bayesian optimization
Lahmiri, Salim; Bekiros, Stelios; Avdoulas, Christos - In: Decision analytics journal 6 (2023), pp. 1-8
The valuation of house prices is drawing noteworthy attention due to worldwide financial and real estate crises in the last decade. Therefore, there is an immediate need to design more effective predictive systems of house prices. Indeed, investors, creditors, and governments are all interested...
Persistent link: https://www.econbiz.de/10014505865