IIUM Repository

DR Nurul Fariza Zulkurnain

Electrical and Computer Engineering

International Islamic University Malaysia

Profile Picture

Latest Additions

  1. Md Zaki, Fatimah Audah and Zulkurnain, Nurul Fariza (2019) Improved BVBUC algorithm to discover closed itemsets in long biological datasets. Applied Mechanics and Materials, 892. pp. 157-167. ISSN 1662-7482
  2. Zulkurnain, Nurul Fariza (2019) An efficient algorithm to discover large and frequent itemset in high dimensional data. Project Report. UNSPECIFIED. (Unpublished)
  3. Zulkurnain, Nurul Fariza and Rebitanim, Azli Fitri and Abdul Malik, Noreha (2018) Analysis of THUG: a low-interaction client honeypot to identify malicious websites and malwares. In: 2018 7th International Conference on Computer and Communication Engineering (ICCCE), 19th-20th September 2018, Kuala Lumpur.
  4. Md. Zaki, Fatimah Audah and Zulkurnain, Nurul Fariza (2019) Frequent itemset mining in high dimensional data: a review. In: 5th International Conference on Computational Science and Technology (ICCST 2018), 29th-30th August 2018, Kota Kinabalu, Sabah.
  5. Md Zaki, Fatimah Audah and Zulkurnain, Nurul Fariza (2018) RARE: mining colossal closed itemset in high dimensional data. Knowledge-Based Systems, 161. pp. 1-11. ISSN 0950-7051 E-ISSN 1872-7409
  6. Zulkurnain, Nurul Fariza and Shah, Ahmad (2018) HYBRID: an efficient unifying process to mine frequent itemsets. In: 2017 IEEE 3rd International Conference on Engineering Technologies and Social Sciences (ICETSS), 7th-8th August 2017, Bangkok, Thailand.
  7. Md. Zaki, Fatimah Audah and Zulkurnain, Nurul Fariza (2017) Towards scalable algorithm for closed itemset mining in high-dimensional data. Indonesian Journal of Electrical Engineering and Computer Science, 8 (2). pp. 487-494. E-ISSN 2502-4752
  8. Khan, Burhan Ul Islam and Olanrewaju, Rashidah Funke and Baba, Asifa Mehraj and Zulkurnain, Nurul Fariza and Lone, Sajad Ahmad (2017) STCM: Secured trust-based communication method in vulnerable mobile adhoc network. In: The 9th International Conference on Robotic, Vision, Signal Processing and Power Applications (RoViSP 2016), 2nd-3rd February 2016, Penang, Malayia.
  9. Zulkurnain , N.F. and Haglin, David J. and Keane, John A (2013) DisClose: Discovering colossal closed itemsets via a memory efficient compact row-tree. In: Emerging Trends in Knowledge Discovery and Data Mining. Lecture Notes in Artificial Intelligence (7769). Springer Berlin Heidelberg, pp. 141-156. ISBN 978-3-642-36777-9