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Stock Miner: A System For Knowledge Discovery In Financial Data  (Make Corrections)  
Melina Karamanlidou, Olivier Tuffier, Ioannis Vlahavas



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Abstract: The vast improvement of hardware and software technology in the last years has made it possible for companies to store large amounts of data in a reliable and inexpensive way. Although this may appear to be very positive at first, it has led in very many cases to big collections of data, where it has become impossible for humans to maintain the right understanding of the data they hold. Therefore new techniques have evolved in order to analyze this data. One of these new techniques is... (Update)

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BibTeX entry:   (Update)

@misc{ karamanlidou-stock,
  author = "Melina Karamanlidou and Olivier Tuffier and Ioannis Vlahavas",
  title = "Stock Miner: A System For Knowledge Discovery In Financial Data",
  url = "citeseer.ist.psu.edu/272239.html" }
Citations (may not include all citations):
474   Advances in knowledge discovery and data mining (context) - Fayyad, Piatetsky-Shapiro et al. - 1996
189   Discovering frequent episodes in sequences (context) - Mannila, Toivonen et al. - 1995
137   Finding interesting rules from large sets of discovered asso.. - Klemettinen, Mannila et al. - 1994
115   Scalable parallel data mining for association rules - Han, Karypis et al. - 1997
106   The KDD process for extracting useful knowledge from volumes.. - Fayyad, Piatetsky-Shapiro et al. - 1996
51   Methods and problems in data mining - Mannila - 1997
14   Mining business databases - Brachman, Khabaza et al. - 1996
14   Technical Analysis from A to Z (context) - Achelis - 1995
4   Stock Market Trading Systems (context) - Appel, Htschler - 1980
1   a hands-on approach for business professionals (context) - Groth - 1997

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