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198 results on '"Ahmad Noraziah"'

4. ELP-M2: An Efficient Model for Mining Least Patterns from Data Repository

Author

Abdullah, Zailani, Ngah, Amir, Herawan, Tutut, Ahmad, Noraziah, Mohamad, Siti Zaharah, Hamdan, Abdul Razak, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Herawan, Tutut, editor, Ghazali, Rozaida, editor, Nawi, Nazri Mohd, editor, and Deris, Mustafa Mat, editor

Published
2017
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15. Mining Indirect Least Association Rule from Students’ Examination Datasets

Author

Abdullah, Zailani, Herawan, Tutut, Ahmad, Noraziah, Ghazali, Rozaida, Deris, Mustafa Mat, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Kobsa, Alfred, editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Weikum, Gerhard, editor, Murgante, Beniamino, editor, Misra, Sanjay, editor, Rocha, Ana Maria A. C., editor, Torre, Carmelo, editor, Rocha, Jorge Gustavo, editor, Falcão, Maria Irene, editor, Taniar, David, editor, Apduhan, Bernady O., editor, and Gervasi, Osvaldo, editor

Published
2014
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29. On Soft Partition Attribute Selection

Author

Mamat, Rabiei, Herawan, Tutut, Ahmad, Noraziah, Deris, Mustafa Mat, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Liu, Baoxiang, editor, Ma, Maode, editor, and Chang, Jincai, editor

Published
2012
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47. BVAGQ-AR for Fragmented Database Replication Management

Author

Ahmad Noraziah, Ainul Azila Che Fauzi, Basem Y. Alkazemi, Julius Beneoluchi Odili, and Sharifah Hafizah Sy Ahmad Ubaidillah

Subjects
distributed databases, Distributed Computing Environment, algorithm, General Computer Science, Distributed database, Association rule learning, Computer science, Reliability (computer networking), Distributed computing, General Engineering, Replication, 020206 networking & telecommunications, 02 engineering and technology, data mining, Grid, Replication (computing), TK1-9971, Server, fragmentation, computational intelligence, 0202 electrical engineering, electronic engineering, information engineering, Key (cryptography), 020201 artificial intelligence & image processing, General Materials Science, Electrical engineering. Electronics. Nuclear engineering
Abstract

Large amounts of data have been produced at a rapid rate since the invention of computers. This condition is the key motivation for up-to-date and forthcoming research frontiers. Replication is one of the mechanisms for managing data, since it improves data accessibility and reliability in the distributed database environment. In recent years, the amount of various data grows rapidly with widely available low-cost technology. Although we have been packed with data, we still have lacked of knowledge. Nevertheless, if the impractical data is used in database replication, this will cause waste of data storage and the time taken for a replication process will be delayed. This paper proposes Binary Vote Assignment on Grid Quorum with Association Rule (BVAGQ-AR) algorithm in order to handle fragmented database synchronous replication. BVAGQ-AR algorithm is capable for partitioning the database into disjoint fragments. Fragmentation in distributed database is very useful in terms of usage, reliability and efficiency. Managing fragmented database replication becomes a concern for the administrator because the distributed database is disseminated into split replica partitions. The result from the experiment shows that handling fragmented database synchronous replication through proposed BVAGQ-AR algorithm able to preserve data consistency in distributed environment.

Published
2021

50. African Buffalo Optimization Algorithm Based T-Way Test Suite Generation Strategy for Electronic-Payment Transactions

Author

Abdullah B. Nasser, Julius Beneoluchi Odili, Mashuk Ahmed, Ahmad Noraziah, and Mohd Helmy Abd Wahab

Subjects
Test strategy, Optimization algorithm, Computer science, business.industry, media_common.quotation_subject, Interaction strength, Machine learning, computer.software_genre, Payment, Component (UML), Convergence (routing), Test suite, Artificial intelligence, business, computer, Metaheuristic, media_common
Abstract

The use of meta-heuristics in Combinatorial Interaction Testing (CIT) is becoming more and more popular due to their effectiveness and efficiency over the traditional methods especially in authenticating electronic payment (e-payment) transactions. Concomitantly, over the past two decades, there has been a rise both in the development of metaheuristics and their application to diverse theoretical and practical areas including CIT in e-payments. In the implementation of t-way strategies (the t is used to represent the interaction strength), mixed results have been reported; some very exciting but, in other cases, the performance of metaheuristics has been, to say the least, below par. This mixed trend has led many researchers to explore alternate ways of improving the effectiveness and efficiency of metaheuristics in CIT, hence this study. It must be emphasized, however, that available literature indicates that no particular metaheuristic testing strategy has had consistent superior performance over the others in diverse testing environments and configurations. The need for effectiveness, therefore, necessitates the need for algorithm hybridization to deploy only the component parts of algorithms that have been proven to enhance overall search capabilities while at the same time eliminating the demerits of particular algorithms in the hybridization procedure. In this paper, therefore, a hybrid variant of the African Buffalo Optimization (ABO) algorithm is proposed for CIT. Four hybrid variants of the ABO are proposed through a deliberate improvement of the ABO with four algorithmic components. Experimental procedures indicate that the hybridization of the ABO with these algorithmic components led to faster convergence and greater effectiveness superior to the outcomes of existing techniques, thereby placing the algorithm among the best when compared with other methods/techniques.

Published
2021

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