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Science watch by knowledge discovery in bibliographic databases
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Source Symposium on Applied Computing archive
Proceedings of the 1997 ACM symposium on Applied computing table of contents
San Jose, California, United States
Pages: 94 - 95  
Year of Publication: 1997
ISBN:0-89791-850-9
Author
T. Dkaki  IRIT, SIG, Université Paul Sabatier, 118, route de Narbonne, 31062 Toulouse cedex
Sponsors
SIGCUE: ACM Special Interest Group on Computer Uses In Education
SIGADA: ACM Special Interest Group on Ada Programming Language
SIGAPP: ACM Special Interest Group on Applied Computing
SIGBIO: ACM Special Interest Group on Biomedical Computing
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 1,   Downloads (12 Months): 13,   Citation Count: 0
Additional Information:

references   index terms   collaborative colleagues  

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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
DKAK93
T. Dkaki, Outils informatiques et m4thodes automatiques pour la veille technologique, Thesis of Paul Sabatier University of Toulouse, N t515, July 1993.
 
DKAK95
T. Dkaki, B. Dousset, Competitive Intelligence ~ Data Extraction and Analysis, International Symposium of Intelligent Data Analysis, IDA-95, Baden- Baden, Germany, August 1995.
HAN96
Jiawei Han, Data mining techniques, Proceedings of the 1996 ACM SIGMOD international conference on Management of data, p.545, June 04-06, 1996, Montreal, Quebec, Canada
 
JAKO87
F. Jakobiak, Syst~mes d'informations documentaires strat4giques, Revue franq:aise de bibliomdtrie Volume 1 pp 41-67, 1987.
 
ZEMB95
Robert Zembowicz , Jan M. Żytkow, From contingency tables to various forms of knowledge in databases, Advances in knowledge discovery and data mining, American Association for Artificial Intelligence, Menlo Park, CA, 1996

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.2 DATABASE MANAGEMENT
      H.2.8 Database applications
          Subjects: Data mining


General Terms:
Design, Management, Performance, Theory


Keywords:
collaboration nets, data analysis, knowledge discovery in databases, science watch

Collaborative Colleagues:
T. Dkaki: colleagues

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