25,425 research outputs found

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    Datamining for Web-Enabled Electronic Business Applications

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    Web-Enabled Electronic Business is generating massive amount of data on customer purchases, browsing patterns, usage times and preferences at an increasing rate. Data mining techniques can be applied to all the data being collected for obtaining useful information. This chapter attempts to present issues associated with data mining for web-enabled electronic-business

    OntoMathPROOntoMath^{PRO} Ontology: A Linked Data Hub for Mathematics

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    In this paper, we present an ontology of mathematical knowledge concepts that covers a wide range of the fields of mathematics and introduces a balanced representation between comprehensive and sensible models. We demonstrate the applications of this representation in information extraction, semantic search, and education. We argue that the ontology can be a core of future integration of math-aware data sets in the Web of Data and, therefore, provide mappings onto relevant datasets, such as DBpedia and ScienceWISE.Comment: 15 pages, 6 images, 1 table, Knowledge Engineering and the Semantic Web - 5th International Conferenc

    SOCIAL RESPONSIBILITY: SHOULDTHE NATIONS CARE ABOUT IT?

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    In the article the global trends in the social responsibility on the national level were presented. The analysis of the global trends was made on the basis of comparing the national level of social responsibility and components of the economic freedom and social progress. It was detected, thatGDP per capita as basic indicator of economic wealth is strongly correlated to level of nation’s socialresponsibility. The influence of corruption on the social development was defined also. The basic direction for further development of the social responsibility in context of providing the sustainable development such as integrated matrixes of distribution of social responsibility were proposed

    SOCIAL RESPONSIBILITY: SHOULDTHE NATIONS CARE ABOUT IT?

    Get PDF
    In the article the global trends in the social responsibility on the national level were presented. The analysis of the global trends was made on the basis of comparing the national level of social responsibility and components of the economic freedom and social progress. It was detected, thatGDP per capita as basic indicator of economic wealth is strongly correlated to level of nation’s socialresponsibility. The influence of corruption on the social development was defined also. The basic direction for further development of the social responsibility in context of providing the sustainable development such as integrated matrixes of distribution of social responsibility were proposed

    A journal business model to replace the big deal?

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    Application of artificial neural network in market segmentation: A review on recent trends

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    Despite the significance of Artificial Neural Network (ANN) algorithm to market segmentation, there is a need of a comprehensive literature review and a classification system for it towards identification of future trend of market segmentation research. The present work is the first identifiable academic literature review of the application of neural network based techniques to segmentation. Our study has provided an academic database of literature between the periods of 2000-2010 and proposed a classification scheme for the articles. One thousands (1000) articles have been identified, and around 100 relevant selected articles have been subsequently reviewed and classified based on the major focus of each paper. Findings of this study indicated that the research area of ANN based applications are receiving most research attention and self organizing map based applications are second in position to be used in segmentation. The commonly used models for market segmentation are data mining, intelligent system etc. Our analysis furnishes a roadmap to guide future research and aid knowledge accretion and establishment pertaining to the application of ANN based techniques in market segmentation. Thus the present work will significantly contribute to both the industry and academic research in business and marketing as a sustainable valuable knowledge source of market segmentation with the future trend of ANN application in segmentation.Comment: 24 pages, 7 figures,3 Table
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