Similar Search Results

Incremental maintenance of discovered fuzzy association rules

Pérez-Alonso, A.; Blanco, I. J.; Serrano, J. M.; … - In: Fuzzy optimization and decision making : a journal of … 20 (2021) 4, pp. 429-449

Persistent link: https://www.econbiz.de/10012651789

Fuzzy association rule mining for fashion product development

Lee, Carmen Kar Hang; Tse, Y.K.; Ho, G.T.S.; Choy, K.L. - In: Industrial Management & Data Systems 115 (2015) 2, pp. 383-399

Purpose – The emergence of the fast fashion trend has exerted a great pressure on fashion designers who are urged to consider customers’ preferences in their designs and develop new products in an efficient manner. The purpose of this paper is to develop a fuzzy association rule mining...

Persistent link: https://www.econbiz.de/10014826073

Estimating new product success with the use of intelligent systems

Relich, Marcin; Bzdyra, Krzysztof - In: Foundations of Management : the journal of Warsaw … 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/10011855261

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

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

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

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

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

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

1
2
3
4
5
6
7
8
9
10
Next
Last