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Development of a knowledge-based feedback assistance system of product use information for product improvement

Dienst, Susanne; Fathi, Madjid; Abramovici, Michael; … - In: International journal of product development : IJPD 19 (2014) 4, pp. 191-210

Persistent link: https://www.econbiz.de/10010497041

A methodology supporting syntactic, lexical and semantic clarification of requirements in systems engineering

Christophe, François; Mokammel, Faisal; Coatanéa, Eric; … - In: International journal of product development : IJPD 19 (2014) 4, pp. 173-190

Persistent link: https://www.econbiz.de/10010497042

Audit opinion prediction : a comparison of data mining techniques

Saeedi, Ali - In: Journal of emerging technologies in Accounting 18 (2021) 2, pp. 125-147

Persistent link: https://www.econbiz.de/10013162128

Chronic disease progression prediction : leveraging case-based reasoning and big data analytics

Nenova, Zlatana; Shang, Jennifer - In: Production and operations management : the flagship … 31 (2022) 1, pp. 259-280

Persistent link: https://www.econbiz.de/10013163851

A multivariate analysis of undergraduate business schools' curricula in Turkey

Sarıgül, Haşmet; Sengelen, Hakan Eren - In: Journal of education for business 97 (2022) 3, pp. 150-160

Persistent link: https://www.econbiz.de/10013167360

Customer retention management : a complementary use of data mining and soft systems methodology

Mehrabioun, Mohammad; Mahdizadeh, Bibi Malihe - In: Human systems management : HSM 40 (2021) 6, pp. 897-916

Persistent link: https://www.econbiz.de/10012817004

Forecasting the stock exchange of Thailand using data mining techniques

Kanokkarn Snae Namahoot; Viphasiri Jantasri - In: International journal of electronic finance : IJEF 10 (2021) 4, pp. 211-231

Persistent link: https://www.econbiz.de/10012798947

A machine learning pipeline for forecasting time series in the banking sector

Gorodetskaya, Olga; Gobareva, Yana; Koroteev, Mikhail - In: Economies : open access journal 9 (2021) 4, pp. 1-15

The problem of forecasting time series is very widely debated. In recent years, machine learning algorithms have been very prolific in this area. This paper describes a systematic approach to building a machine learning predictive model for solving optimization problems in the banking sector. A...

Persistent link: https://www.econbiz.de/10012800488

Association rule mining for identification of port state control patterns in Malaysian ports

Osman, Mohd Tarmizi; Chen, Yuli; Tian, Li; Syahrul … - In: Maritime policy & management 48 (2021) 8, pp. 1082-1095

Persistent link: https://www.econbiz.de/10012804323

Multi-kernel learning-based recommender system using adaptive neuro-fuzzy inference system

Ayaz, A. Salman; Jaya, A.; Gulzar, Zameer - In: International journal of intelligent enterprise 8 (2021) 4, pp. 424-435

Persistent link: https://www.econbiz.de/10012670440