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A Decision-Theoretic Approach to Data Mining

Elovici, Yuval; Braha, Dan - 2003

In this paper, we develop a decision-theoretic frameworkfor evaluating data mining systems, which employ classification …

Persistent link: https://www.econbiz.de/10009431139

An efficient FLANN model with CRO-based gradient descent learning for classification

Naik, Bighnaraj; Nayak, Janmenjoy; Behera, Himansu Sekhar - In: International journal of business information systems : … 21 (2016) 1, pp. 73-116

Persistent link: https://www.econbiz.de/10011520250

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

Features selection, data mining and finacial risk classification : a comparative study

Lahmiri, Salim - In: Intelligent systems in accounting finance and … 23 (2016) 4, pp. 265-275

Persistent link: https://www.econbiz.de/10011668094

Credit risk scoring in entrepreneurship : feature selection

Pejić Bach, Mirjana; Šarlija, Natasa; Zoroja, Jovana; … - In: Managing global transitions : international research journal 17 (2019) 4, pp. 265-287

Persistent link: https://www.econbiz.de/10012200805

A multi-label machine learning approach to support pathologist's histological analysis

Azzini, Antonia; Cortesi, Nicola; Marrara, Stefania; … - In: Proceedings of the ENTRENOVA - ENTerprise REsearch … 5 (2019) 1, pp. 197-208

, if properly extracted, may be suitable for searching, classification, or statistical analysis. For this reason, in order … work presents a Machine Learning Multi-Label approach for the classification of the information extracted from the …

Persistent link: https://www.econbiz.de/10012221872

Data mining approach for predicting student performance

Osmanbegović, Edin; Suljić, Mirza - In: Economic review : journal of economics & business 10 (2012) 1, pp. 3-12

Although data mining has been successfully implemented in the business world for some time now, its use in higher education is still relatively new, i.e. its use is intended for identification and extraction of new and potentially valuable knowledge from the data. Using data mining the aim was...

Persistent link: https://www.econbiz.de/10012010545

Classification of the main financial-banking institutions in Romania using SAS

Mihaela, Iordache Ana Maria; Octavian, Mihalcescu Cezar; … - In: Romanian economic and business review 15 (2020) 4, pp. 25-34

Persistent link: https://www.econbiz.de/10012631921

Modelling and predicting student's academic performance using classification data mining techniques

Raza Hasan; Sellappan Palaniappan; Salman Mahmood; … - In: International journal of business information systems : … 34 (2020) 3, pp. 403-422

Persistent link: https://www.econbiz.de/10012253494

ACRIPPER : a new associative classification based on RIPPER algorithm

Abu-Arqoub, Mohammed; Hadi, Wa'el; Ishtaiwi, Abdelraouf - In: Journal of information & knowledge management : JIKM 20 (2021) 1, pp. 2150013-1-2150013-21

Persistent link: https://www.econbiz.de/10012602460