Literatur zur Informationserschließung

Diese Datenbank enthält über 40.000 Dokumente zu Themen aus den Bereichen Formalerschließung – Inhaltserschließung – Information Retrieval.

© 2015 W. Gödert, TH Köln, Institut für Informationswissenschaft / Powered by litecat, BIS Oldenburg (Stand: 28. April 2022)

Suchergebnisse

• 161
  Trybula, W.J.: Data mining and knowledge discovery.
  In: Annual review of information science and technology. 32(1997), S.197-229.
  
  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
  
  Themenfeld: Data Mining ; Literaturübersicht
  
  
• 162
  Siu, B., P.K.M. Kwan u. B. Lam (Hrsg.): Data mining, data warehousing and client/server databases : Proceedings of the 8th International Hong Kong Computer Society Database Workshop (Industrial Stream).
  New York : Springer, 1997. 315 S.
  ISBN 981-3083-53-0
  
  Themenfeld: Data Mining
  
  
• 163
  Hofstede, A.H.M. ter ; Proper, H.A. ; Van der Weide, T.P.: Exploiting fact verbalisation in conceptual information modelling.
  In: Information systems. 22(1997) nos.5/6, S.349-385.
  
  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
  
  Themenfeld: Data Mining
  
  
• 164
  Cardie, C.: Empirical methods in information extraction.
  In: AI magazine. 18(1997) no.4, S.65-79.
  
  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
  
  Anmerkung: Contribution to a special section reviewing recent research in empirical methods in speech recognition, syntactic parsing, semantic processing, information extraction and machine translation
  
  Themenfeld: Data Mining
  
  
• 165
  Search tools.
  In: Information world review. 1997, no.128, S.15.
  
  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
  
  Themenfeld: Suchmaschinen ; Data Mining ; Web-Agenten
  Objekt: Alexa ; WBI
  
  
• 166
  Saz, J.T.: Perspectivas en recuperacion y explotacion de informacion electronica : el 'data mining'.
  In: Scire. 3(1997) no.2, S.73-83.
  
  Abstract: Presents the concept and the techniques identified by the term data mining. Explains the principles and phases of developing a data mining process, and the main types of data mining tools
  
  Anmerkung: Übers. des Titels: Perspectives on the retrieval and exploitation of electronic information: data mining
  
  Themenfeld: Data Mining
  
  
• 167
  Amir, A. ; Feldman, R. ; Kashi, R.: ¬A new and versatile method for association generation.
  In: Information systems. 22(1997) nos.5/6, S.333-347.
  
  Abstract: Current algorithms for finding associations among the attributes describing data in a database have a number of shortcomings. Presents a novel method for association generation, that answers all desiderata. The method is different from all existing algorithms and especially suitable to textual databases with binary attributes. Uses subword trees for quick indexing into the required database statistics. Tests the algorithm on the Reuters-22173 database with satisfactory results
  
  Themenfeld: Data Mining
  
  
• 168
  Fayyad, U.M. ; Djorgovski, S.G. ; Weir, N.: From digitized images to online catalogs : data ming a sky server.
  In: AI magazine. 17(1996) no.2, S.51-66.
  
  Abstract: Offers a data mining approach based on machine learning classification methods to the problem of automated cataloguing of online databases of digital images resulting from sky surveys. The SKICAT system automates the reduction and analysis of 3 terabytes of images expected to contain about 2 billion sky objects. It offers a solution to problems associated with the analysis of large data sets in science
  
  Themenfeld: Data Mining
  Behandelte Form: Bilder
  Objekt: SKICAT
  
  
• 169
  Fayyad, U.M.: Data mining and knowledge dicovery : making sense out of data.
  In: IEEE expert. 11(1996) no.5, S.20-25.
  
  Abstract: Defines knowledge discovery and data mining (KDD) as the overall process of extracting high level knowledge from low level data. Outlines the KDD process. Explains how KDD is related to the fields of: statistics, pattern recognition, machine learning, artificial intelligence, databases and data warehouses
  
  Themenfeld: Data Mining
  
  
• 170
  Fayyad, U. ; Piatetsky-Shapiro, G. ; Smyth, P.: From data mining to knowledge discovery in databases.
  In: AI magazine. 17(1996) no.3, S.37-54.
  
  Abstract: Gives an overview of data mining and knowledge discovery in databases. Clarifies how they are related both to each other and to related fields. Mentions real world applications data mining techniques, challenges involved in real world applications of knowledge discovery, and current and future research directions
  
  Themenfeld: Data Mining
  
  
• 171
  Fayyad, U.M. et al. (Hrsg.): Advances in knowledge discovery and data mining.
  Menlo Park, CA : AAAI Press / MIT Press, 1996. 625 S.
  ISBN 0-262-56097-6
  
  Anmerkung: Rez. in: JASIS 49(1998) no.4, S.386-387 (F. Exner)
  
  Themenfeld: Data Mining
  
  
• 172
  Chen, Z.: Knowledge discovery and system-user partnership : on a production 'adversarial partnership' approach.
  In: AI and society. 8(1994) no.4, S.341-356.
  
  Abstract: Examines the relationship between systems and users from the knowledge discovery in databases or data mining perspecitives. A comprehensive study on knowledge discovery in human computer symbiosis is needed. Proposes a database-user adversarial partnership, which is general enough to cover knowledge discovery and security of issues related to databases and their users. It can be further generalized into system-user adversarial paertnership. Discusses opportunities provided by knowledge discovery techniques and potential social implications
  
  Themenfeld: Data Mining