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Applying data mining algorithms to encourage mental health disclosure in the workplace

Singer, Gonen; Golan, Maya - In: International journal of business information systems : … 36 (2021) 4, pp. 553-571

Persistent link: https://www.econbiz.de/10012506931

A hybrid cluster technique for improving the efficiency of colour image segmentation

Kumar, Ankit; Raja, Linesh; Dadheech, Pankaj; Bhardwaj, … - In: World review of entrepreneurship, management and … 16 (2020) 6, pp. 665-679

Persistent link: https://www.econbiz.de/10012319108

Analysis of subfeature for classification in data mining

Bhuyan, Hemanta Kumar; Ravi, Vinayakumar - In: IEEE transactions on engineering management : EM 70 (2023) 8, pp. 2732-2746

Persistent link: https://www.econbiz.de/10014364657

Feature and subfeature selection for classification using correlation coefficient and fuzzy model

Bhuyan, Hemanta Kumar; Chakraborty, Dr. Chinmay; Pani, … - In: IEEE transactions on engineering management : EM 70 (2023) 5, pp. 1655-1669

Persistent link: https://www.econbiz.de/10014305358

A classification model for predicting road accidents using web data

Sinanaj, Luan; Bedalli, Erind; Bexheti, Lejla Abazi - In: Proceedings of the ENTRENOVA - ENTerprise REsearch … 9 (2023) 1, pp. 60-71

web data in Albania and to construct a classification model using data mining techniques and methods. These techniques … online portals and reports from the state authorities. The constructed classification model is expected to be utilised to …

Persistent link: https://www.econbiz.de/10014496208

Estimating new product success with the use of intelligent systems

Relich, Marcin; Bzdyra, Krzysztof - In: Foundations of Management 6 (2014) 2, pp. 7-20

The paper presents identifying success factors in new product development and selecting new product portfolio. The critical success factors are identified on the basis of an enterprise system, including the fields of project management, marketing and customer's comments concerning the previous...

Persistent link: https://www.econbiz.de/10011923101