Search (21 results, page 1 of 2)

  • × year_i:[1990 TO 2000}
  • × theme_ss:"Data Mining"
  1. Matson, L.D.; Bonski, D.J.: Do digital libraries need librarians? (1997) 0.00 
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    Abstract
    Defines digital libraries and discusses the effects of new technology on librarians. Examines the different viewpoints of librarians and information technologists on digital libraries. Describes the development of a digital library at the National Drug Intelligence Center, USA, which was carried out in collaboration with information technology experts. The system is based on Web enabled search technology to find information, data visualization and data mining to visualize it and use of SGML as an information standard to store it
  2. Cardie, C.: Empirical methods in information extraction (1997) 0.00 
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    Abstract
    Surveys the use of empirical, machine-learning methods for information extraction. Presents a generic architecture for information extraction systems and surveys the learning algorithms that have been developed to address the problems of accuracy, portability, and knowledge acquisition for each component of the architecture
    Footnote
    Contribution to a special section reviewing recent research in empirical methods in speech recognition, syntactic parsing, semantic processing, information extraction and machine translation
  3. Hofstede, A.H.M. ter; Proper, H.A.; Van der Weide, T.P.: Exploiting fact verbalisation in conceptual information modelling (1997) 0.00 
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    Abstract
    Focuses on the information modelling side of conceptual modelling. Deals with the exploitation of fact verbalisations after finishing the actual information system. Verbalisations are used as input for the design of the so-called information model. Exploits these verbalisation in 4 directions: considers their use for a conceptual query language, the verbalisation of instances, the description of the contents of a database and for the verbalisation of queries in a computer supported query environment. Provides an example session with an envisioned tool for end user query formulations that exploits the verbalisation
    Source
    Information systems. 22(1997) nos.5/6, S.349-385
  4. Chowdhury, G.G.: Template mining for information extraction from digital documents (1999) 0.00 
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  5. Knowledge discovery and data mining (1998) 0.00 
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    Source
    Journal of the American Society for Information Science. 49(1998) no.5, S.397-470
  6. Gaizauskas, R.; Wilks, Y.: Information extraction : beyond document retrieval (1998) 0.00 
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    Abstract
    In this paper we give a synoptic view of the growth of the text processing technology of informatione xtraction (IE) whose function is to extract information about a pre-specified set of entities, relations or events from natural language texts and to record this information in structured representations called templates. Here we describe the nature of the IE task, review the history of the area from its origins in AI work in the 1960s and 70s till the present, discuss the techniques being used to carry out the task, describe application areas where IE systems are or are about to be at work, and conclude with a discussion of the challenges facing the area. What emerges is a picture of an exciting new text processing technology with a host of new applications, both on its own and in conjunction with other technologies, such as information retrieval, machine translation and data mining
  7. Saz, J.T.: Perspectivas en recuperacion y explotacion de informacion electronica : el 'data mining' (1997) 0.00 
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    Footnote
    Übers. des Titels: Perspectives on the retrieval and exploitation of electronic information: data mining
  8. Trybula, W.J.: Data mining and knowledge discovery (1997) 0.00 
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    Abstract
    State of the art review of the recently developed concepts of data mining (defined as the automated process of evaluating data and finding relationships) and knowledge discovery (defined as the automated process of extracting information, especially unpredicted relationships or previously unknown patterns among the data) with particular reference to numerical data. Includes: the knowledge acquisition process; data mining; evaluation methods; and knowledge discovery. Concludes that existing work in the field are confusing because the terminology is inconsistent and poorly defined. Although methods are available for analyzing and cleaning databases, better coordinated efforts should be directed toward providing users with improved means of structuring search mechanisms to explore the data for relationships
    Source
    Annual review of information science and technology. 32(1997), S.197-229
  9. Search tools (1997) 0.00 
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    Abstract
    Offers brief accounts of Internet search tools. Covers the Lycos revamp; the new navigation service produced jointly by Excite and Netscape, delivering a language specific, locally relevant Web guide for Japan, Germany, France, the UK and Australia; InfoWatcher, a combination offline browser, search engine and push product from Carvelle Inc., USA; Alexa by Alexa Internet and WBI from IBM which are free and provide users with information on how others have used the Web sites which they are visiting; and Concept Explorer from Knowledge Discovery Systems, Inc., California which performs data mining from the Web, Usenet groups, MEDLINE and the US Patent and Trademark Office patent abstracts
    Source
    Information world review. 1997, no.128, S.15
  10. Data mining : Theoretische Aspekte und Anwendungen (1998) 0.00 
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    Theme
    Information Resources Management
  11. Lusti, M.: Data Warehousing and Data Mining : Eine Einführung in entscheidungsunterstützende Systeme (1999) 0.00 
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    Theme
    Information Resources Management
  12. Analytische Informationssysteme : Data Warehouse, On-Line Analytical Processing, Data Mining (1998) 0.00 
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    Theme
    Information Resources Management
  13. Amir, A.; Feldman, R.; Kashi, R.: ¬A new and versatile method for association generation (1997) 0.00 
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    Source
    Information systems. 22(1997) nos.5/6, S.333-347
  14. Wong, S.K.M.; Butz, C.J.; Xiang, X.: Automated database schema design using mined data dependencies (1998) 0.00 
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    Source
    Journal of the American Society for Information Science. 49(1998) no.5, S.455-470
  15. Raghavan, V.V.; Deogun, J.S.; Sever, H.: Knowledge discovery and data mining : introduction (1998) 0.00 
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    Source
    Journal of the American Society for Information Science. 49(1998) no.5, S.397-402
  16. Bell, D.A.; Guan, J.W.: Computational methods for rough classification and discovery (1998) 0.00 
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    Source
    Journal of the American Society for Information Science. 49(1998) no.5, S.403-414
  17. Lingras, P.J.; Yao, Y.Y.: Data mining using extensions of the rough set model (1998) 0.00 
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    Source
    Journal of the American Society for Information Science. 49(1998) no.5, S.415-422
  18. Analytische Informationssysteme : Data Warehouse, On-Line Analytical Processing, Data Mining (1999) 0.00 
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    Theme
    Information Resources Management
  19. Deogun, J.S.: Feature selection and effective classifiers (1998) 0.00 
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    Source
    Journal of the American Society for Information Science. 49(1998) no.5, S.423-434
  20. Wu, X.: Rule induction with extension matrices (1998) 0.00 
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    Source
    Journal of the American Society for Information Science. 49(1998) no.5, S.435-454

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