A literature review of data mining techniques for enhancing digital customer engagement
Year of publication: |
2020
|
---|---|
Authors: | Mosa, Mona ; Agami, Nedaa ; Elkhayat, Ghada ; Kholief, Mohamed |
Published in: |
International journal of enterprise information systems : an official publication of the Information Resources Management Association. - Hershey, Pa. [u.a.] : IGI Publ., ISSN 1548-1115, ZDB-ID 2414367-4. - Vol. 16.2020, 4, p. 80-100
|
Subject: | Algorithm | Analysis | Data Mining | Digital Customer Engagement | Machine Learning | Data mining | Digitalisierung | Digitization | Social Web | Social web | Beziehungsmarketing | Relationship marketing | Algorithmus |
-
A consumer-based taxonomy of digital customer engagement practices
Eigenraam, Anniek W., (2018)
-
Sarcasm detection using machine learning algorithms in Twitter : a systematic review
Samer Muthana Sarsam, (2020)
-
Khrestina, Marina Pavlovna, (2017)
- More ...
-
A neural network based dynamic forecasting model for Trend Impact Analysis
Agami, Nedaa, (2009)
-
A fuzzy logic based trend impact analysis method
Agami, Nedaa, (2010)
-
A Fuzzy Logic based Trend Impact Analysis method
Agami, Nedaa, (2010)
- More ...