1.
Nur Laila Bte Ab Ghani; SULFEEZA BTE MOHD DRUS. Handling Imbalanced Class Problem Of Measles Infection Risk Prediction Model. International Journal Of Engineering And Advanced Technologu (Ijeat) (Oct 2019). Journal. Cited: SCOPUS
2.
Nur Laila Bte Ab Ghani; SULFEEZA BTE MOHD DRUS. Handling Imbalanced Class Problem Of Measles Infection Risk Prediction Model. International Journal Of Engineering And Advanced Technology (Ijeat) (Oct 2019). Journal. Cited: SCOPUS
3.
Nur Laila Bte Ab Ghani; SULFEEZA BTE MOHD DRUS. Minimizing False Negatives Of Measles Prediction Model: An Experimentation Of Feature Selection Based On Domain Knowledge And Random Forest
Classifier. International Journal Of Engineering And Advanced Technology (Ijeat) (Oct 2019). Journal. Cited: Indexing In Progress
4.
Zaihisma Binti Che Cob; Nur Laila Bte Ab Ghani; SULFEEZA BTE MOHD DRUS. Examination Of Significant Factors Influencing Response Time Of Customer Complaint Based On Analytics Method. International Journal Of Engineering & Advanced Technology (Ijeat) (Oct 2019). Journal. Cited: SCOPUS
5.
PRAJINDRA SANKAR A/L KRISHNAN; SULFEEZA BTE MOHD DRUS; Nur Laila Bte Ab Ghani. Substation Transformer Failure Analysis Through Text Mining. 2019 Ieee 9Th Symposium On Computer Applications & Industrial Electronics (Iscaie) (Jun 2019). Conference Proceeding. Cited: SCOPUS
6.
Zaihisma Binti Che Cob; Nur Laila Bte Ab Ghani; SULFEEZA BTE MOHD DRUS. Big Data Analytics Framework For Smart Universities Implementations. Lecture Notes In Electrical Engineering (Lnee) (May 2019). Conference Proceeding. Cited: SCOPUS
7.
Nur Laila Bte Ab Ghani; Zaihisma Binti Che Cob; SULFEEZA BTE MOHD DRUS; HIDAYAH BTE SULAIMAN. Student Enrolment Prediction Model In Higher Education Institution: A Data Mining Approach. Lecture Notes In Electrical Engineering (Lnee) (May 2019). Conference Proceeding. Cited: SCOPUS
8.
Nur Laila Bte Ab Ghani; SULFEEZA BTE MOHD DRUS. Data Mining Techniques For Disease Risk Prediction Model:
A Systematic Literature Review. Recent Trends In Data Science And Soft Computing. Irict 2018. Advances In Intelligent Systems And Computing. Springer (Sep 2018). Conference Proceeding. Cited: ISI
9.
Nur Laila Bte Ab Ghani. A Modified Landscape Expansion Index Algorithm For Urban Growth Classification Using Satellite Remote Sensing Image. Advanced Science Letters (Mar 2018). Conference Proceeding. Cited: ISI
10.
Nur Laila Bte Ab Ghani. The Classification Of Urban Growth Pattern
Using Topological Relation Border Length
Algorithm: An Experimental Study. Recent Trends In Information And Communication Technology
Proceedings Of The 2Nd Internationalconference Of Reliable Information And Communication Technology (Irict 2017) (Jun 2017). Conference Proceeding. Cited: ISI
11.
Nur Laila Bte Ab Ghani; SULFEEZA BTE MOHD DRUS; Noor Hafizah Binti Hassan; ALIZA BTE ABDUL LATIF. Factors Of Emerging Infectious Disease Outbreak Prediction Using Big Data Analytics: A Systematic Literature Review . Proceedings Of The 6Th International Conference Of Computing & Informatics (Apr 2017). Conference Proceeding. Cited: ISI
12.
Nur Laila Bte Ab Ghani. Experimental Study Of Urban Growth Pattern Classification Using Moving Window Algorithm. Journal Of Engineering And Applied Sciences (Dec 2016). Journal. Cited: SCOPUS
13.
Nur Laila Bte Ab Ghani. Accuracy Assessment Of Urban Growth Pattern Classification Methods Using Confusion Matrix And Roc Analysis . Book Title: Soft Computing In Data Science Book Subtitle: First International Conference, Scds 2015, Putrajaya, Malaysia, September 2-3, 2015, Proceedings (Sep 2015). Conference Proceeding. Cited: SCOPUS
14.
Nur Laila Bte Ab Ghani. Accuracy Assessment Of Urban Growth Pattern Classification Methods Using Confusion Matrix And Roc Analysis. Book Title: Soft Computing In Data Science
Book Subtitle: First International Conference, Scds 2015, Putrajaya, Malaysia, September 2-3, 2015, Proceedings (Sep 2015). Book Chapter. Cited: SCOPUS
15.
Nur Laila Bte Ab Ghani. Urban Sprawl Shape Description. Malaysian Journal Of Computing (Sep 2014). Journal. Cited: None