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Social and Behavioral Sciences Commons™
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Articles 1 - 4 of 4
Full-Text Articles in Social and Behavioral Sciences
The Evaluation Of Latent Semantic Indexing In Persian Text Retrieval, Farhad Oroumchian, H. Bashiri, M. Rohani, A. Moeini
The Evaluation Of Latent Semantic Indexing In Persian Text Retrieval, Farhad Oroumchian, H. Bashiri, M. Rohani, A. Moeini
Faculty of Commerce - Papers (Archive)
No abstract provided.
Evaluation Of Concept Lattices In A Web-Based Mail Browser, Shaun Domingo, Peter W. Eklund
Evaluation Of Concept Lattices In A Web-Based Mail Browser, Shaun Domingo, Peter W. Eklund
Faculty of Commerce - Papers (Archive)
Concept lattices assist human understanding in three ways: firstly, by collecting formal concepts that contain maximal sets of objects with shared attributes; secondly, the relatedness of concepts is revealed by providing a hierarchy of formal concepts in the information space. Finally, the concept lattice (drawn as a line diagram) reveals inferences that can automatically derive association rules. Therefore, a major hypothesis of the application of concept lattices is that they visually assist in understanding the structure of information contained within an information space. However, there has been little in the way of empirical tests to substantiate this hypothesis. This paper …
Corporate Social Responsibility (Csr): An Examination Of Consumer Awareness, Evaluation And Purchase Action, Alan A. Pomering
Corporate Social Responsibility (Csr): An Examination Of Consumer Awareness, Evaluation And Purchase Action, Alan A. Pomering
Faculty of Commerce - Papers (Archive)
Despite marketplace polls reporting heightened consumer interest in and support for companies acting in socially-responsible ways, there remains to date little evidence of such consumer support translating into general purchase behaviour. There is a gap in our knowledge regarding which particular socially-responsible behaviours are likely to prove most influential with consumers and be rewarded with supportive purchase behaviour, and how awareness of firms’ commitments to these behaviours is to be brought to consumers’ attention. It appears from the marketplace success of some socially-responsible, or ‘ethical’ brands, such as The Body Shop and recently launched clothing brands such as American Apparel …
Machine Learning Techniques And Use Of Event Information For Stock Market Prediction: A Survey And Evaluation, Paul D. Yoo, Maria H. Kim, Tony Jan
Machine Learning Techniques And Use Of Event Information For Stock Market Prediction: A Survey And Evaluation, Paul D. Yoo, Maria H. Kim, Tony Jan
Faculty of Commerce - Papers (Archive)
This paper surveys machine learning techniques for stock market prediction. The prediction of stock markets is regarded as a challenging task of financial time series prediction. In this paper, we present recent developments in stock market prediction models, and discuss their advantages and disadvantages. In addition, we investigate various global events and their issues on predicting stock markets. From this survey, we found that incorporating event information with prediction model plays very important roles for more accurate prediction. Hence, an accurate event weighting method and a stable automated event extraction system are required to provide better performance in financial time …