643 research outputs found

    Efficient progressive sampling for data mining

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    Political Implication in “Sepha Khun Chang - Khun Phaen”

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    This research is a study of the political implications in the Vajirayan Royal Library version of “Sepha Khun Chang - Khun Phaen”. It aims to provide an explanation on the political implications, which appeared in the text and the context, and the political agenda that prompted the revision and publication of this literature in 1917 by utilising detailed interpretation of the text and contextual analysis. This research shows that the body of the Vajirayan Royal Library version of “Sepha Khun Chang - Khun Phaen” can be portrayed as a social reality that highlights the correlation between the people of different classes in the social hierarchy. The literature also covers the concept of loyalty, especially that of the government officials to the royal institute. Furthermore, once the status and role of Prince Damrong Rajanubhab, the then president of the Vajirayan Royal Library, and the Thai State’s context at that time into account, it reveals a hypothesis suggesting that the creation of this book was not by the reason “to preserve a well-versed Thai literature permanently” as the prince stated, but instead by a political reason which purposefully intended to foster people’s loyalty to the royal institute by using the aforementioned portrayal as a model. Keywords: Loyalty, Palace Revolt of 1912, Sepha Khun Chang - Khun Phae

    The convergence property of support vector machines

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    Challenges and Strategies for Inventory Management in Small and Medium-Sized Cosmetic Enterprises: A Review

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    This research paper presents a case study analysis of the inventory management challenges faced by small and medium-sized cosmetic enterprises (SMEs) and the strategies employed to overcome them. The study was conducted through qualitative research methods, including in-depth interviews with managers of SMEs in the cosmetics industry. The findings revealed that the major challenges faced by SMEs in managing their inventory were poor demand forecasting, inadequate storage facilities, and lack of efficient inventory control systems. To mitigate these challenges, SMEs employed strategies such as outsourcing inventory management, adopting technology-driven inventory control systems, and establishing efficient supply chain networks. The study concludes that effective inventory management is crucial for the success of SMEs in the cosmetics industry, and the strategies identified in this study could be useful for practitioners seeking to improve their inventory management practices

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    Thesis (M.Sc., Mathematics and Statistics)--Prince of Songkla University, 200

    Weighted K-means for density-biased clustering

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    Density-biased clustering based on reservoir sampling

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    Multiple principal component analysis on high dimensional data

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    The perfoemance of learning algorithms on reduced data sets

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    Multi-agents in data filtering system

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