• Publications
  • Influence
NewsCube 2 . 0 : An Exploratory Design of a Social News Website for Media Bias Mitigation
We present NewsCube2.0, a social news website aiming to mitigate the effects of bias on socially contentious news issues. For contentious issues, news producers actively try to shape readers’Expand
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Software Reverse Engineering to Requirements
  • S. A. Fahmi, H. Choi
  • Computer Science
  • International Conference on Convergence…
  • 21 November 2007
TLDR
We argue that it is necessary to recover requirements from the reverse engineered outcome of legacy system and by integrating this outcome in the requirements phase of software life cycle, it is possible to have a better requirements elicitation, and clear understanding of what is redundant, what must be retained and what can be re-used. Expand
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Knowledge-based AOP framework for business rule aspects in business process
TLDR
We present a rule-based aspect oriented programming (AOP) framework where business rule aspects contained in business processes can be effectively separated and executed. Expand
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  • PDF
Cloud Technology for Mining Association Rules in Microarray Gene Expression Datasets
Microarray gene expression techniques and tools have become of a substantial importance and widely used to analyze the protein-protein interaction (PPI) and gene regulation network (GRN) research inExpand
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Building Domain Independent Ontology for Web 2.0
  • E. Nyamsuren, H. Choi
  • Computer Science
  • IEEE 8th International Conference on Computer and…
  • 8 July 2008
TLDR
In this paper we are proposing an information integration approach based on minimalist-upper ontology that can be applied among Web 2.0 applications. Expand
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Clustering space-time interest points for action representation
This paper presents a novel approach to represent human actions in a video. Our approach deals with the limitation of local representation, i.e. space-time interest points, which cannot adequatelyExpand
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Addressing Effective Hidden Web Search Using Iterative Deepening Search and Graph Theory
TLDR
We have surveyed the current problems of retrieving information from hidden Web and proposed a solution to solve these problems using probability, iterative deepening search and graph theory. Expand
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Naive semi-supervised deep learning using pseudo-label
TLDR
To facilitate the utilization of large-scale unlabeled data, we propose a simple and effective method for semi-supervised deep learning that improves upon the performance of the deep learning model. Expand
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Efficient Mining Frequently Correlated, Associated-Correlated and Independent Patterns Synchronously by Removing Null Transactions
Market basket analysis techniques are useful for extracting customer’s purchase behaviors or rules by discovering what items they buy together using the association rules and correlation. AssociatedExpand
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