1. Agrawal, R., Imieliński, T., & Swami, A. (1993). Mining association rules between sets of items in large databases. In Proceedings of the 1993 ACM SIGMOD International conference on management of data – SIGMOD ’93. Retrieved from https://doi.org/10.1145/170035.170072.
2. Alayba, A. M., Palade, V., England, M., & Iqbal, R. (2018). A combined CNN and LSTM model for Arabic sentiment analysis. Lecture Notes in Computer Science. Retrieved from https://doi.org/10.1007/978-3-319-99740-7_12.
3. Barateiro, J., & Galhardas, H. (2005). A survey of data quality tools. Datenbank-Spektrum, 14(15–21), 48. – Bing. (n.d.). Retrieved 9 May 2021, from https://www.bing.com/search?q=Barateiro%2C+J.%2C+%26+Galhardas%2C+H.+(2005).+A+survey+of+data+quality+tools.+Datenbank-Spektrum%2C+14(15-21)%2C+48.&cvid=dbe10d81049b453cb2e0d5a8bce31ccc&aqs=edge..69i57.556j0j1&pglt=547&FORM=ANNAB1&PC=U531
4. Behpour, S., Mohammadi, M., Albert, M. V., Alam, Z. S., Wang, L., & Xiao, T. (2021). Automatic trend detection: Time-biased document clustering. Knowledge-Based Systems. Retrieved from https://doi.org/10.1016/j.knosys.2021.106907.
5. Benaich, N., & Hogarth, I. (2020). State of AI Report 2020. Retrieved from https://www.stateof.ai/