Search Results - (( java implication based algorithm ) OR ( knowledge voting system algorithm ))
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A secure, anonymous and verifiable E-Voting system
Published 2020“…Furthermore, this paper also proposes a more secure voting system which uses some encryption and hashing algorithms in order to solve the negative impacts of the existing voting systems. …”
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Final Year Project / Dissertation / Thesis -
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Managing MyGRANTS Fragmented Database Using Binary Vote Assignment Grid Quorum with Association Rule (BVAGQ-AR) Replication Model
Published 2015“…This paper propose a new algorithm namely Binary Vote Assignment on Grid Quorum with Association Rule (BVAGQ-AR) in order to handle fragmented database replication. …”
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Conference or Workshop Item -
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Binary vote assignment on grid quorum replication technique with association rule
Published 2018“…First step is mining the data by using Apriori algorithm from Association Rules. It is used to discover the correlation between data. …”
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Thesis -
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Managing Fragmented Database Using BVAGQ-AR Replication Model
Published 2017“…This paper will discuss about how to build reliable system by using the proposed BVAGQ-AR algorithm for distributed database fragmentation. …”
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Article -
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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A comparative study between rough and decision tree classifiers
Published 2008“…Rule-based classification system (RBC) has been widely used in many real world applications because of the easy interpretability of rules.RBC mines a collection of rule via knowledge which is hidden in dataset in order to accurately map new cases to the decision class.In the real world, the number of attribute of dataset could be very large due the capability of database technology to store much information.Following that, the large dataset may contain thousands of relationship and it will likely provide more knowledge since the interrelationship between data will give more description.Furthermore, it is also have the possibility to have most number of rules that contain unnecessary rule or redundancies in the model. …”
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