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A Data Mining Methodology and Its Application to Semi-Automatic Knowledge Acquisition  (Make Corrections)  
Mika Klemettinen, Heikki Mannila, Hannu Toivonen
DEXA Workshop



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Abstract: We introduce a methodology for knowledge discovery in databases (KDD) where one first discovers large collections of patterns at once, and then performs interactively retrieves subsets of the collection of patterns. The proposed methodology suits such KDD formalisms as association and episode rules, where large collections of potentially interesting rules can be found efficiently. We present methods that support interactive exploration of large collections of rules. With these methods the user... (Update)

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BibTeX entry:   (Update)

@inproceedings{ klemettinen97data,
    author = "Mika Klemettinen and Heikki Mannila and Hannu Toivonen",
    title = "A Data Mining Methodology and Its Application to Semi-automatic Knowledge Acquisition",
    booktitle = "{DEXA} Workshop",
    pages = "670-677",
    year = "1997",
    url = "citeseer.ist.psu.edu/2695.html" }
Citations (may not include all citations):
921   Mining association rules between sets of items in large data.. - Agrawal, Imielinski et al. - 1993
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
189   Discovering frequent episodes in sequences (context) - Mannila, Toivonen et al. - 1995
106   The KDD process for extracting useful knowledge from volumes.. - Fayyad, Piatetsky-Shapiro et al. - 1996
85   Discovering generalized episodes using minimal occurrences - Mannila, Toivonen - 1996
36   Knowledge discovery from telecommunication network alarm dat.. - Hatonen, Klemettinen et al. - 1996
36   Alarm correlation (context) - Jakobson, Weissman - 1993
36   Pruning and grouping of discovered association rules - Toivonen, Klemettinen et al. - 1995
26   an algorithm for finding all interesting sentences (context) - Mannila, Toivonen - 1996
26   Finding interesting rules from large sets of discovered asso.. (context) - Klemettinen, Mannila et al. - 1994
17   Selecting and reporting what is interesting (context) - Matheus, Piatetsky-Shapiro et al. - 1996
14   Efficient discovery of interesting statements in databases (context) - Kloesgen - 1995
9   The process of knowledge discovery in databases: A first ske.. (context) - Brachman, Anand - 1994
3   Noaa -- an expert system managing the telephone network (context) - Goodman, Ambrose et al. - 1995
2   From contingency (context) - Zembowicz, Zytkow

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