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Online cheaters : profiles and motivations of internet users who falsify their data online

Sáez-Ortuño, Laura; Coll, Santiago Forgas; … - In: Journal of innovation & knowledge : JIK 8 (2023) 2, pp. 1-12

The digital environment, which includes the Internet and social networks, is propitious for digital marketing. However, the collection, filtering and analysis of the enormous, constant flow of information on social networks is a major challenge for both academics and practitioners. The aim of...

Persistent link: https://www.econbiz.de/10014388517

Analytics, innovation, and organizational adaptation

George, Gerard; Lin, Yimin - In: Innovation: organization & management : IOM 19 (2017) 1, pp. 16-22

Persistent link: https://www.econbiz.de/10011629151

Cost-sensitive decision tree induction with label-dependent late constraints

Kao, Hung-pin; Tang, Kwei - In: INFORMS journal on computing : JOC 26 (2014) 2, pp. 238-252

Persistent link: https://www.econbiz.de/10010362445

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

Predicting student performance : a classification model using machine learning algorithms

Alshdaifat, Esra'a; Zaid, Aisha; Alshdaifat, Ala'a - In: International journal of business information systems : … 39 (2022) 3, pp. 349-364

Persistent link: https://www.econbiz.de/10013198420

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

Classification and association rule mining technique for predicting chronic kidney disease

Alaid, Ahmad; Najadat, Hassan; Mohsen, Belal; Balhaf, Khaled - In: Journal of information & knowledge management : JIKM 19 (2020) 1, pp. 2040015-1-2040015-17

Persistent link: https://www.econbiz.de/10012292640

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