On the Machine Learning Based Business Workflows Extracting Knowledge from Large Scale Graph Data
22nd International Conference on Computational Science and Its Applications , ICCSA 2022, Malaga, İspanya, 4 - 07 Temmuz 2022, cilt.13381 LNCS, ss.463-475, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Cilt numarası: 13381 LNCS
- Doi Numarası: 10.1007/978-3-031-10548-7_34
- Basıldığı Şehir: Malaga
- Basıldığı Ülke: İspanya
- Sayfa Sayıları: ss.463-475
- Anahtar Kelimeler: Customer journey, Encoding, Funnel analysis, Machine learning, Sequential pattern mining
- Yıldız Teknik Üniversitesi Adresli: Evet
Özet
The data created by web users while navigating on a website constitutes graph data. Large-scale graph data is generated on websites many users visit with high frequency. Analyzing large-scale graph data using artificial intelligence techniques and predicting user behavior by creating models is an actively studied research topic. Within the scope of this research, a machine learning business process is proposed that will allow the interpretation of graph data obtained from web user navigation data. A prototype application was developed to demonstrate the usability of the proposed business process. The developed prototype application was run on graph data obtained from websites with intense user-system interaction. A comprehensive evaluation study was carried out on the prototype application. The results obtained from the empirical evaluation are promising and show that the proposed business process is used.