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17 results for “Md. Nasir Sulaiman”
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Research ArticleOpen accessIn the author namesA Novel Performance Metric for Building an Optimized ClassifierMohammad Hossin, Md Nasir Sulaiman, Aida Mustapha, Norwati MustaphaProblem statement: Typically, the accuracy metric is often applied for optimizing the heuristic or stochastic classification models. However, the use of accuracy metric might lead the searching process to the sub-optimal solutions due to its less discriminating values and it is also not robust to the changes of class distribution. Approach: To solve these detrimental effects, we propose a novel … …Journal of Computer Science, Vol. 7, Issue 4 · 4 Apr 2011 · 8,480 accessesView PDFCite
Research ArticleOpen accessIn the author namesIPACT: Improved Web Page Recommendation System Using Profile Aggregation Based On Clustering of TransactionsYahya AlMurtadha, Md. Nasir Bin Sulaiman, Norwati Mustapha, Nur Izura UdzirProblem statement: Recently, Web usage mining techniques have been widely used to build recommendation systems especially for anonymous users. Approach: Assigning the current user to the best web navigation profile with similar navigation activities will improve the ability of the prediction engine to produce a recommendation list then introduce it to the user. This study presents iPACT an improved recommendation … …American Journal of Applied Sciences, Vol. 8, Issue 3 · 25 Mar 2011 · 7,987 accessesView PDFCite
Research ArticleOpen accessIn the author namesAn Efficient and Effective Immune Based ClassifierShahram Golzari, Shyamala Doraisamy, Md Nasir Sulaiman, Nur Izura UdzirProblem statement: Artificial Immune Recognition System (AIRS) is most popular and effective immune inspired classifier. Resource competition is one stage of AIRS. Resource competition is done based on the number of allocated resources. AIRS uses a linear method to allocate resources. The linear resource allocation increases the training time of classifier. Approach: In this study, a new nonlinear resource allocation … …Journal of Computer Science, Vol. 7, Issue 2 · 25 Feb 2011 · 7,772 accessesView PDFCite
Research ArticleOpen accessIn the author namesMalay Interrogative Knowledge CorpusFatimah Sidi, Marzanah A. Jabar, Mohd Hasan Selamat et al.Problem statement: The growth in the number of documents written in Malay language is enormously available on the web and intranets. There is a need to identify the information in the Malay documents that contain knowledge. This triggers the need to investigate the availability of knowledge in them. Approach: This study uses interrogative theory to identify knowledge from documents or … …American Journal of Economics and Business Administration, Vol. 3, Issue 1 · 31 Jan 2011 · 7,915 accessesView PDFCite
Research ArticleOpen accessIn the author namesDynamic Bayesian Networks in Classification-and-Ranking Architecture of Response GenerationAida Mustapha, Md. Nasir Sulaiman, Ramlan Mahmod, Mohd. Hasan SelamatProblem statement: The first component in classification-and-ranking architecture is a Bayesian classifier that classifies user utterances into response classes based on their semantic and pragmatic interpretations. Bayesian networks are sufficient if data is limited to single user input utterance. However, if the classifier is able to collate features from a sequence of previous n-1 user utterances, the additional information may … …Journal of Computer Science, Vol. 7, Issue 1 · 27 Dec 2010 · 8,106 accessesView PDFCite
Research ArticleOpen accessIn the author namesCorpus-Based Analysis on Cross-Domain Experiments in Classification-and-Ranking GenerationAida Mustapha, Md. Nasir Sulaiman, Ramlan Mahmod, Mohd. Hasan SelamatProblem statement: Overgeneration-and-ranking architecture works well in written language where sentence is the basic unit. However, in spoken language where utterance is the basic unit, the disadvantage becomes critical as spoken language also render intentions, hence short strings may be of equivalent impact. Approach: In classification-and-ranking, response was deliberately chosen from dialogue corpus rather than wholly generated, such that it … …Journal of Computer Science, Vol. 6, Issue 11 · 23 Oct 2010 · 7,099 accessesView PDFCite
Research ArticleOpen accessIn the author namesDropping down the Maximum Item Set: Improving the Stylometric Authorship Attribution Algorithm in the Text Mining for Authorship InvestigationTareef Kamil Mustafa, Norwati Mustapha, Masrah Azrifah Azmi, Nasir B. SulaimanProblem statement: Stylometric authorship attribution is an approach concerned about analyzing texts in text mining, e.g., novels and plays that famous authors wrote, trying to measure the authors style, by choosing some attributes that shows the author style of writing, assuming that these writers have a special way of writing that no other writer has; thus, authorship attribution is the … …Journal of Computer Science, Vol. 6, Issue 3 · 31 Mar 2010 · 7,535 accessesView PDFCite