Kasypi Mokhtar

IncSPADE: An Incremental Sequential Pattern Mining Algorithm Based on SPADE Property

In this paper we propose Incremental Sequential PAttern Discovery using Equivalence classes (IncSPADE) algorithm to mine the dynamic database without the requirement of re-scanning the database again. In order to evaluate this algorithm, we conducted the experiments against three different artificial datasets. The result shows that IncSPADE outperformed the benchmarked algorithm called SPADE up to 20%.

Established Slack-Based Measure in Container Terminal for Risk Assessment

Container terminal is a dynamic interface worldwide. It portrays national capability in trading with outsider via seaborne. This research aims at measuring operational risk within container terminal besides its efficiency. By means of identify and apply DEA technique towards operationalisation of supply chain and risk, this research is providing final outcome with no adjusted risk rank order of decision-making unit (DMU). A panel data from 6 container terminals in Peninsular Malaysia are retrieved from 2003 until 2010. In turn, 8 years of data with 6 terminals resulting 48 container terminal DMUs. Slacks-Based Measure (SBM) and Super Slacks-Based Measure (SSBM) are used for risk solution. The findings of the research express efficiency based on the allocation of resources must be optimised to achieve optimum outcome. SBM and SSBM findings indicate that no adjusted risks are significantly related with size, planning, equipment and volume of cargoes. This is critical as container segments give a significant contribution to terminal operators. In addition, container terminal is competitive industry, as Malaysia is competing not only with neighbouring countries but also with Asian countries in particular and the world in general.

CANONICAL CORRESPONDENCE ANALYSIS AND PATH ANALYSIS MODEL (CCA) APPLIED TO DENTAL CARIES AMONG CHILDREN SIX AND SEVEN YEAR OLDS, BACHOK, KELANTAN, MALAYSIA.

Ruhaya Hasan 1 , Wan Muhamad Amir W Ahmad 1 , Nor Affendy Nor Azmi 1 , Rosmaliza Ramli 1 , Nurhafizah Ghani 1 , Zailani Abdullah 2 , Nor Azlida Aleng 3 , Nurfadhlina Abdul Halim 3 , Syerrina Zakaria 3 , , Kasypi Mokhtar 4 . 1. School of Dental Sciences, Health Campus, Universiti Sains Malaysia (USM), 16150 Kubang Kerian, Kelantan, Malaysia. 2. Faculty of Entrepreneurship and Business,Universiti Malaysia Kelantan (UMK),16100Pengkalan Chepa, Kelantan. 3. School of Informatics and Applied Mathematics, Universiti Malaysia Terengganu (UMT), 21030 Kuala Terengganu, Terengganu. 4. School of Maritime Business and Management, Universiti Malaysia Terengganu (UMT), 21030 Kuala Terengganu, Terengganu.