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Mumtazimah, Mohamad and Engku Fadzli Hasan, Syed Abdullah and Ghaleb, S.A.A. and Ghanem, W.A.H.M. (2021) Spam classification based on supervised learning using grasshopper optimization algorithm and artificial neural network. In: 2nd International Conference on Advances in Cyber Security, 08-09 Dec 2020, Penang, Malaysia.
Mumtazimah, Mohamad (2019) CAIS@LAW: Web-Service Computerized Accounting Information System for Small Law Firms in Malaysia. In: 8th International Conference on Law & Society (ICLAS 2019), 6-7 April 2019, Istanbul, Turkey.
Mumtazimah, Mohamad (2019) CAIS@LAW: Web-Service Computerized Accounting Information System for Small Law Firms in Malaysia. In: 8th International Conference on Law & Society (ICLAS 2019), 6-7 April 2019, Istanbul, Turkey.
Mumtazimah, Mohamad and Saman, M.Y.M and Hamid, N.A. (2019) Complexity approximation of classification task for large dataset ensemble artificial neural networks. In: 2nd International Conference on Advanced Data and Information Engineering, DaEng 2015, 25-26 Apr 2015, Bali, Indonesia.
Mumtazimah, Mohamad and Hassan, H. and Mohd Saman, M.Y and Abdullah, Z. (2019) Concept Based Lattice Mining (CBLM) using Formal Concept Analysis (FCA) for text mining. In: 2nd International Conference on Advanced Data and Information Engineering, 25-26 Apr 2015, Bali, Indonesia.
Hasni, Hassan and Mumtazimah, Mohamad and Md Yazid, Mohamad Saman (2019) Concept Based Lattice Mining (CLBM) Using Formal Concept Analysis (FCA) for Text Mining. In: Proceedings of the Second International Conference on Advanced Data and Information Engineering,, 25 April 2015, Bali, Indonesia.
Mumtazimah, Mohamad and Mohd, F and Abdul Jalil, M and Noora, N.M.M and Ismail, S and Yahya, W.F.F (2019) Improving Accuracy of Imbalanced Clinical Data Classification Using Synthetic Minority Over-Sampling Technique. In: 1st International Conference on Intelligent Cloud Computing, ICC 2019, 10-12 December 2019, Riyadh; Saudi Arabia.
Zuhairah Ariff, Abd Ghadas and Fatimah, Ghazali and Mumtazimah, Mohamad and Ahmad Hadi Farhan, Khairu Azua and Wan Nursyahida, Wan Ismail (2018) Cais@law ; Computerized accounting information system for small law firms in Malaysia. In: The International University Carnival on e-learning (IUCEL) 2018, 25 Sep 2018, IIUM, Kuala Lumpur.
Mumtazimah, Mohamad and Zahrahtul Amani, Zakaria and Wan Nor Shuhadah, Wan Nik and Arifah, Che Alhadi (2017) An Analysis of Large Data Classification using Ensemble Neural Network. In: International Conference on informatics, Computing and Applied Mathematics, 7-9 October 2017, Universiti Sultan Zainal Abidin.
Azrul Amri, Jamal and Ahmad Nazari, Mohd Rose and Abd.Rasid, Mamat and Azilawati, Rozaimee and Aznida Hayati, Zakaria@Mohamad and Mumtazimah, Mohamad and Mohd Khalid, Awang (2017) Psychomotor Assessment Rubric For Computing Courses: Preliminary Observation. In: International Conference on Teaching and Learning in Higher Education (ICTLHE) 2017, 1-2 February 2017, Universiti Malaysia Terengganu.
Zahrahtul Amani, Zakaria and Mumtazimah, Mohamad and Jarah Moath, Suleiman Ali (2017) Rainfall Frequency Analysis using LH-moments Approach: A Case of Kemaman Station, Malaysia. In: International Conference on Informatics, Computing and Applied Mathematics, 9 October 2017, UniSZA.
Mumtazimah, Mohamad and Jasni, Mohamad Zain (2017) Review of The Recent Trends in Ciphertext Policy-Atribute Based Scheme for Cloud Computing. In: International Conference on Informatics, Computing & Applied Mathematics (ICICAM) 2017, 9 October 2017, UNISZA.
Wan Nor Shuhadah, Wan Nik and Mumtazimah, Mohamad and Zarina, Mohamad and Mohamad Nur Haziq, Mohd Safri (2017) Wireless Network Traffic Analysis and Troubleshooting using Raspberry Pi. In: International Conference on Informatics, Computing & Applied Mathematics (ICICAM2017), 7 October 2017, Kuala Terengganu.
Mumtazimah, Mohamad and Mokhairi, Makhtar and Mohd Nordin, Abdul Rahman (2017) The reconstructed heterogeneity to enhance ensemble neural network for large data. In: The 2nd International Conference on Soft Computing and Data Mining, SCDM-2016, 18-20 August 2016, Bandung; Indonesia.
Mumtazimah, Mohamad and Mohd Nordin, Abdul Rahman and Mokhairi, Makhtar (2016) The Reconstructed Heterogeneity to Enhance Ensemble Neural Network for Large Data. In: The Second International Conference on Soft Computing and Data Mining (SCDM-2016), 18-20 August 2016, Bandung; Indonesia.
Abd Rasid, Mamat and Mohd Fadzil, Abdul Kadir and Mumtazimah, Mohamad and Muhammad Ghali, Aliyu (2015) Removal of Noise Using Filters for Efficient Leaf Identification. In: 1st ICRIL-International Conference on Innovation in Science and Technology (IICIST 2015), 20 April 2015, UTM.
Fatma Susilawati, Mohamad and Mumtazimah, Mohamad and Engku Fadzli Hasan, Syed Abdullah (2013) Integrating an e-Learning Model using IRT, Felder-Silverman and Neural Network Approach. In: The Second International Conference on Informatics & Applications (ICIA2013), 23 - 25 September 2013, Lodz, Poland.
Mumtazimah, Mohamad (2012) A framework for multiprocessor neural networks systems. In: International Conference on ICT Convergence: "Global Open Innovation Summit for Smart ICT Convergence", 15-17 October 2012, Jeju Island; South Korea.
Fatma Susilawati, Mohamad and Mumtazimah, Mohamad and Sarhan, AlDuais (2020) Enhancement processing time and accuracy training via significant parameters in the batch BP algorithm. International Journal of Intelligent Systems and Applications, 12 (1). pp. 43-54. ISSN 2074-904X
Mumtazimah, Mohamad and Md Yazid, Mohamad Saman (2015) Comparison of diverse ensemble neural network for large data classification. International Journal of Advances in Soft Computing and its Applications, 7 (3). pp. 67-84. ISSN 20748523
Mokhairi, Makhtar and Engku Fadzli Hasan, Syed Abdullah and Mumtazimah, Mohamad (2015) Optimizing Sensitivity and Specificity of Ensemble Classifiers for Diabetic Patients. Journal of Theoretical and Applied Information Technology, 81 (1). pp. 1-7. ISSN 1992-8645 [P]
Mumtazimah, Mohamad and Md Yazid, Mohd Saman and Muhammad Suzuri, Hitam (2014) The Use of Output Combiners in Enhancing the Performance of Large Data for ANNs. IAENG International Journal of Computer Science, 41 (1). pp. 38-47. ISSN 1819-656X
