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  • × year_i:[2000 TO 2010}
  • × author_ss:"Neelameghan, A."
  1. Haravu, L.J.; Neelameghan, A.: Text mining and data mining in knowledge organization and discovery : the making of knowledge-based products (2003) 0.01 
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    Abstract
    Discusses the importance of knowledge organization in the context of the information overload caused by the vast quantities of data and information accessible on internal and external networks of an organization. Defines the characteristics of a knowledge-based product. Elaborates on the techniques and applications of text mining in developing knowledge products. Presents two approaches, as case studies, to the making of knowledge products: (1) steps and processes in the planning, designing and development of a composite multilingual multimedia CD product, with the potential international, inter-cultural end users in view, and (2) application of natural language processing software in text mining. Using a text mining software, it is possible to link concept terms from a processed text to a related thesaurus, glossary, schedules of a classification scheme, and facet structured subject representations. Concludes that the products of text mining and data mining could be made more useful if the features of a faceted scheme for subject classification are incorporated into text mining techniques and products.
  2. Neelameghan, A.; Iyer, H.: Information organization to assist knowledge discovery : case studies with non-bibliographic databases (2003) 0.00 
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    Abstract
    Enumerates various paths that may lead to knowledge discovery (KD). Most of these paths begin from knowing what exists. To know what exists about an entity requires comprehensively assembling relevant data and information, in-depth analysis of the information, and identifying relations among the concepts in the related and even apparently unrelated subjects. Provision has to be made to reorganize and synthesize the information retrieved and/or that obtained through observation, experiment, survey, etc. Information and communication technologies (ICT) have considerably augmented the capabilities of information systems. Such ICT applications may range from the simple to sophisticated computerized systems, with data gathered using aerial photography, remote sensing, satellite imagery, large radar and planetary telescopes and many other instrument records of phenomena, as well as downloading via the Internet. While classification helps in data prospecting and data mining, for it to assist the KD process effectively it has to be supplemented with good indexes, hypertext links, access to statistical and modeling techniques, etc. Computer software assists text analysis, complex data manipulation, computation, statistical analysis, concept mapping, etc. But manual information systems can also assist KD. Enumerates several prerequisites to KD and relevant tools and techniques to be incorporated into information support systems. Presents case studies of information systems and services that assisted KD.

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