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Building weighted associative classifiers using maximum likelihood estimation to improve prediction accuracy in health care data mining

Soni, Sunita; Vyas, O. P. - In: Journal of information & knowledge management : JIKM 12 (2013) 1, pp. 1-14

Persistent link: https://www.econbiz.de/10009752130

Predicting customers' cross-buying decisions : a two-stage machine learning approach

Kilinc, Mehmet Serdar; Rohrhirsch, Robert - In: Journal of business analytics 6 (2023) 3, pp. 180-187

Persistent link: https://www.econbiz.de/10014319345

A hybrid classification-based model for automatic text summarisation using machine learning approaches : CBS-ID3MV

Hannah, M. Esther - In: International journal of product development : IJPD 23 (2019) 2/3, pp. 201-211

Persistent link: https://www.econbiz.de/10012105699

Base model combination algorithm for resolving tied predictions for K-nearest neighbor OVA ensemble models

Lutu, Patricia E. N.; Engelbrecht, Andries P. - In: INFORMS journal on computing : JOC 25 (2013) 3, pp. 517-526

Persistent link: https://www.econbiz.de/10009784055

An outliers detection and elimination framework in classification task of data mining

Dash, Ch. Sanjeev Kumar; Behera, Ajit Kumar; Dehuri, … - In: Decision analytics journal 6 (2023), pp. 1-8

the classification task of data mining where prior outliers preprocessing is necessary. … sampling can have a significant outcome on statistical results. The goal of discovering outliers in data mining is to find a …

Persistent link: https://www.econbiz.de/10014505859

Requirement mining for model-based product design

Pinquié, Romain; Véron, Philippe; Segonds, Frédéric; … - In: International journal of product lifecycle management : … 9 (2016) 4, pp. 305-332

Persistent link: https://www.econbiz.de/10011645918

Associative classification apporaches : review and comparison

Abdelhamid, Neda; Thabtah, Fadi - In: Journal of information & knowledge management : JIKM 13 (2014) 3, pp. 1-30

Persistent link: https://www.econbiz.de/10010438960

Insolvency prediction in the presence of data inconsistencies

Mendes, A.; Cardoso, R. L.; Mário, P. C.; Martinez, A. L. - In: Intelligent systems in accounting finance and … 21 (2014) 3, pp. 155-167

Persistent link: https://www.econbiz.de/10011348621

An artificial intelligence-based decision support system for early and accurate diagnosis of Parkinson's Disease

Mahesh, T. R.; Kumar, Vinoth V.; Bhardwaj, Rajat; Khan, … - In: Decision analytics journal 10 (2024), pp. 1-13

People with Parkinson's Disease (PD) might struggle with sadness, restlessness, or difficulty speaking, chewing, or … include K-Nearest Neighbor (KNN), Random Forest (RF), Support Vector Machine (SVM), and eXtreme Gradient Boosting algorithms …

Persistent link: https://www.econbiz.de/10014543815

IHAC : incorporating heuristics for efficient rule generation & rule selection in associative classification

Parashu Ram Pal; Pathak, Pankaj; Luma-Osmani, Shkurte - In: Journal of information & knowledge management : JIKM 20 (2021) 1, pp. 2150010-1-2150010-13

Persistent link: https://www.econbiz.de/10012602451