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Abstract: Knowledge Discovery in Databases creates the context for developing the tools needed to control the flood of data facing organizations that depend on ever-growing databases of business, manufacturing, scientific and personal information. (Update)
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BibTeX entry: (Update)
Usama Fayyad, Gregory Piatetsky-Shapiro, and Padhraic Smyth. The kdd process for extracting useful knowledge from volumes of data. Communications of the ACM, 39(11):27--34, November 1996. http://citeseer.ist.psu.edu/fayyad96kdd.html More
@inproceedings{ fayyad96kdd,
author = {Fayyad Usama, Piatetsky-Shapiro Gregory, Smyth Padhraic },
title = {The KDD Process for Extracting Useful Knowledge from Volumes of Data},
booktitle = {Communication of the ACM},
pages = {27-34},
year = {1996},
volume = {29},
number = {11},
month = {November},
url = {citeseer.ist.psu.edu/fayyad96kdd.html} }
Citations (may not include all citations):474 Advances in Knowledge Discovery and Data Mining (context) - Fayyad, Piatetsky-Shapiro et al. - 1996
400 Fast discovery of association rules (context) - Agrawal, Mannila et al. - 1996
262 From data mining to knowledge discovery: An overview (context) - Fayyad, Piatetsky-Shapiro et al. - 1996
6 A statistical perspective on KDD (context) - Elder, Pregibon - 1996
6 and Uthurusamy (context) - Fayyad - 1995
4 Advances in Knowledge Discovery and Data Mining (context) - Heckerman - 1996
The graph only includes citing articles where the year of publication is known.
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