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Using electrocardiogram (ECG) to extract identity, mood and behavioral information of individuals is a hot topic in biometric for the last 15 years. In an ECG signal, the region identified as the QRS complex is primarily used for classification of individuals. In this paper, we study an accepted method for identification where feature points are extracted from selecting random points within the QRS...
E-government is one of sectors that currently implementing shared service into its services in order to improve the quality of services and minimize the cost and the risk in delivering the services for its users. There are a growing desire and willingness to implement shared services in e-government from many countries. Unfortunately, there is a lack of scientific interest in order to understand the...
Data mining tools can be very useful to predict future trends and performance, allowing decision makers to make forecasting on the data gathered. However the integration of data mining and optimization is looked as a new combination technique to enhance the quality of the decision making process. This study described the integration between optimization and data mining for decision making.
Frequent pattern mining (FPM) is a popular method in discovering knowledge through generating associations between the attributes in database. Frequent patterns (FPs) represent interesting relationship that could improve understanding the data. High throughput genomic datasets normally consists of a lot of hidden relationships that can be discovered. It is challenging to explore the relationship between...
Researchers and practitioners have employed various analytical and empirical examinations of financial data in their attempts to detect fraud. Nonetheless, despite the various comprehensive analytical examinations and other supporting techniques, there are still fraud incidences that are not discovered. There have been scarce research works that examine the readability of qualitative text in company...
The aim of this paper is to present the role of Artificial Intelligence techniques (Expert systems) to enhance reflective e-portfolios quality. Some AI techniques such as the expert system; scheduling; Data Mining can support us to enhance our reflective e-portfolios quality. These tools together will define new intelligent Reflective e-portfolio that provides intelligent and customized learning method...
This paper proposes a new feature-selection strategy by integrating the Rough Set Theory (RST) and Particle Swarm Optimisation (PSO) algorithms to generate a set of discriminatory features for the classification problem. The proposed method is seen as a marriage between filter and wrapper approaches in which the RST is used to pre-reduce the feature set before optimisation by PSO, a meta-heuristic...
With the increased use of online social networking sites, data retrieval from social networking profiles is becoming a major tool for business. What makes social networking profile data different is its semi-structured format. The structure and the presentation of profile data change all the time. In social networking there is a lack of research into automated data retrieval from semi-structured Web...
Determining the functions of uncharacterized proteins from sequences remains a challenge despite the growth of the number of prediction methods. This is due to the nature of the inherent limitations of current tools and databases and the ambiguity of the function definition. Additionally, standard methods of functional assignment involve sequence alignment to a gene function often fail to find the...
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