E-LIB Suche - Ergebnisse für: Nasaruddin, Fariza

1

Real-time big data processing for anomaly detection: A Surv..:

Ariyaluran Habeeb, Riyaz Ahamed ; Nasaruddin, Fariza ; Gani, Abdullah...
International Journal of Information Management. 45 (2019) - p. 289-307 , 2019

Link: https://doi.org/10.1016/..

2

Clustering‐based real‐time anomaly detection—A breakthrough..:

Ariyaluran Habeeb, Riyaz Ahamed ; Nasaruddin, Fariza ; Gani, Abdullah...
Transactions on Emerging Telecommunications Technologies. , 2019

Link: https://doi.org/10.1002/..

3

Measuring transaction performance based on storage approach..:

Marjani, Mohsen ; Nasaruddin, Fariza ; Gani, Abdullah.
Measurement. 114 (2018) - p. 91-101 , 2018

Link: https://doi.org/10.1016/..

4

A survey of big data management: Taxonomy and state-of-the-..:

Siddiqa, Aisha ; Hashem, Ibrahim Abaker Targio ; Yaqoob, Ibrar...
Journal of Network and Computer Applications. 71 (2016) - p. 151-166 , 2016

Link: https://doi.org/10.1016/..

5

Deep learning and big data technologies for IoT security:

Amanullah, Mohamed Ahzam ; Habeeb, Riyaz Ahamed Ariyaluran ; Nasaruddin, Fariza Hanum...
Computer Communications. 151 (2020) - p. 495-517 , 2020

Link: https://doi.org/10.1016/..

6

Fog learning for cultivating critical thinking in informati..:

Haghparast, Mahboobeh ; Abdullah, Noorhidawati ; Nasaruddin, Fariza Hanum
Concurrency and Computation: Practice and Experience. 31 (2018) 8 - p. , 2018

Link: https://doi.org/10.1002/..

7

Cultivating Critical Thinking Through E-learning Environmen..:

Haghparast, Mahboobeh ; Nasaruddin, Fariza Hanum ; Abdullah, Noorhidawati
Procedia - Social and Behavioral Sciences. 129 (2014) - p. 527-535 , 2014

Link: https://doi.org/10.1016/..

8

Automated Bone Age Assessment: Motivation, Taxonomies, and ..:

Mansourvar, Marjan ; Ismail, Maizatul Akmar ; Herawan, Tutut...
Computational and Mathematical Methods in Medicine. 2013 (2013) - p. 1-11 , 2013

Link: https://doi.org/10.1155/..

9

Towards a Research Model of Post-adoption of Open Governmen..:

, In: 2020 6th International Conference on Information Management (ICIM),

Mustapa, Mimi Nurakmal ; Nasaruddin, Fariza Hanum Md ; Hamid, Suraya - p. 106-110 , 2020

Link: https://doi.org/10.1109/..

10

Predicting Employees' Turnover in IT Industry using Classif..:

, In: 2021 International Conference on Computer Science and Engineering (IC2SE),

Mohamad, Mas Rahayu ; Hanum Nasaruddin, Fariza ; Hamid, Suraya.. - p. 1-7 , 2021

Link: https://doi.org/10.1109/..

11

Clustering-based real-time anomaly detection—a breakthrough..:

Habeeb, Riyaz ; Nasaruddin, Fariza ; Gani, Abdullah...
Transactions on Emerging Telecommunications Technologies Vol. 33, no. 8 (2022), p.. , 2022

Link: http://researchonline.fe..

12

Deep learning and big data technologies for IoT security:

Amanullah, Mohamed ; Habeeb, Riyaz ; Nasaruddin, Fariza...
Computer Communications Vol. 151, no. (2020), p. 495-517. , 2020

Link: http://researchonline.fe..

13

Real-time big data processing for anomaly detection : a sur..:

Ariyaluran Habeeb, Riyaz ; Nasaruddin, Fariza ; Gani, Abdullah...
International Journal of Information Management Vol. 45, no. (2019), p. 289-307. , 2019

Link: http://researchonline.fe..

14

Factors influencing open government data post-adoption in t..:

Mustapa, Mimi Nurakmal ; Hamid, Suraya ; Md Nasaruddin, Fariza Hanum.
PLOS ONE. 17 (2022) 11 - p. e0276860 , 2022

Link: https://doi.org/10.1371/..

15

Real-Time Carbon Dioxide Monitoring Based on IoT & Cloud Te..:

, In: Proceedings of the 2019 8th International Conference on Software and Computer Applications,

Ming, Fan Xiu ; Habeeb, Riyaz Ahamed Ariyaluran ; Md Nasaruddin, Fariza Hanum Binti. - p. 517-521 , 2019

Link: https://dl.acm.org/doi/1..