Search Results - (( java implication based algorithm ) OR ( knowledge writing process algorithm ))

The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Query disambiguation approach using triple-filter by Agaie, Aliyu Isah

“…In this thesis therefore, it is proposed that the best way to formulate appropriate queries is by guiding the user through the query writing process and helping the user to resolve ambiguities by providing suggestions that are easy to understand. …”
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An evaluation of Student Practical Online Application System (SPOA) developed using User Centered Design (UCD) / Muhammad Izzuddin Khairul Annuar Lim by Khairul Annuar Lim, Muhammad Izzuddin

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Evaluation of cracks and disintegrations using close-range digital photogrammetry and image processing technique by Ling, Tung Chai

“…To keep road pavements in good condition, maintenance and repair strategies must be based on an informed knowledge of current pavement condition. Such data are gathered by human inspectors who walk or drive along the road to assess the distresses and writing report sheets manually. …”
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Binary vote assignment on grid quorum replication technique with association rule by Ainul Azila, Che Fauzi

“…Furthermore, these techniques also do not consider the correlation between data during the fragmentation process. The knowledge about data correlation can be extracted from historical data using techniques of the data mining field. …”
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Automated model selection for corporation credit risk assessment using machine learning / Zulkifli Halim by Halim, Zulkifli

“…Machine learning model selection is an iterative process of exploring, evaluating, and improving algorithms. …”
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A flexible query transformation framework for structured retrieval / Gan Keng Hoon by Gan, Keng Hoon

“…Once a source query is interpreted and represented as intermediate query, it can be easily mapped to a structured query language using a set of predefined query templates in knowledge base. Lastly, experiments are carried out at the algorithm, application and representation levels on both synthetic and real world data sets to demonstrate the feasibility and scalability of the query transformation framework. …”
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Pattern extraction for programming performance evaluation using directed apriori by Mohamad Mohsin, Mohamad Farhan, Zaiyadi, Mohd Fairuz, Md Norwawi, Norita, Abd Wahab, Mohd Helmy

“…Computer programming is taught as a core subject in Information Technology related studies.It is one of the most essential skills which each student has to acquire.However, there is still a small number of students who are unable to write a program well. Several researches indicated that there are many factors which can affect student programming performance.Thus, the objective of this paper is to investigate the significant factors that may influence students programming performance using information from previous student performance.Since data mining data analysis able to discover hidden knowledge in database, a programming dataset which comprises information about performance profile of Bachelor of Information Technology students of Faculty of IT, Universiti Utara Malaysia in the year 2004-2005 were explored using data mining technique.The dataset consists of 421 records with 70 mixture type of attributes were pre-processed and then mined using directed association rule (AR) mining algorithm namely apriori.The result indicated that the student who has a programming experience in advanced before starts learn programming in university and scored well in Mathematics and English subject during SPM were among the factor that contributes to a good programming grades.…”
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An investigation into influence factor of student programming grade using association rule mining by Mohamad Mohsin, Mohamad Farhan, Abd Wahab, Mohd Helmy, Zaiyadi, Mohd Fairuz, Hibadullah, Cik Fazilah

“…The dataset consisting of 4 19 records with 70 attributes were pre-processed and then mined using directed association rule mining algorithm namely Apriori. …”
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