Week 4 – Annotated Bibiliography

In this week im Supposed to work on my annotated bibiliography.

Annotated bibliography is a list that refers to books, articles and research papers. It has citations that have around 200-250 words paragraphs each. The purpose of the annotated bibliography is to let the reader know what is included in the sources.

I have continued my research and found some more research papers for my project.

  • Aski, A. S., & Sourati, N. K. (2016). Proposed efficient algorithm to filter spam using machine learning techniques. Elsevier, 145-149.
  • Diale, M., Celik, T., & Wal, C. V. (2019). Unsupervised feature learning for spam email filtering. Elsevier, 89-104.
  • Santoso, B. (2019). An Analysis of Spam Email Detection Performance Assessment Using Machine Learning. JOIN (Jurnal Online Informatika) , 53-54.
  • jarif, N. N., Azmi, N. F., Chuprat, S., Sarkan, H. M., Yahya, Y., & Sam, S. M. (2019). SMS Spam Message Detection using Term Frequency-Inverse Document Frequency and Random Forest Algorithm . ScienceDirect, 510-512.

 

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