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Using Causal Knowledge to Learn More Useful Decision Rules From Data  (Make Corrections)  (3 citations)
Louis Anthony Cox, Jr.



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Abstract: This paper presents results of an applied research effort focused on how to modify conventional recursive partitioning programs (e.g., CART, Knowledge Seeker, ID3) so that they will learn useful decision rules (prescriptions for action) from data. The desired output is no longer a probabilistic prediction of the value of a dependent variable, based on the observed values of independent variables. Instead, it is a prescription for what potentially costly actions to take (i.e., what values to... (Update)

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...principles [370] Rymon [318] suggested SE trees, set enumeration structures each of which can embed several decision trees. Cox [65] argues that classification tree technology, as implemented in commercially available systems, is often more useful for pattern...

...Chaturvedi and Nazareth [80] discuss possible solutions for this problem and provide algorithms for conditional classification. Cox [95] argues that classification tree technology, as implemented in commercially available systems, is often more useful for pattern...

Cited by:   More
Automatic Construction of Decision Trees from Data: A.. - Murthy (1997)   (Correct)
On Growing Better Decision Trees from Data - Murthy (1997)   (Correct)

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6:   Society for AI and Statistics (context) - Stats-, of et al. - 1993
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BibTeX entry:   (Update)

Louis Anthony Cox. Using causal knowledge to learn more useful decision rules from data. In AI&Statistics-95 [7], pages 151--160. http://citeseer.ist.psu.edu/65301.html   More

@misc{ cox-using,
  author = "L. Cox",
  title = "Using causal knowledge to learn more useful decision rules from data",
  text = "Louis Anthony Cox. Using causal knowledge to learn more useful decision
    rules from data. In AI&Statistics-95 [7], pages 151--160.",
  url = "citeseer.ist.psu.edu/65301.html" }
Citations (may not include all citations):
1359   Induction of decision trees (context) - Quinlan - 1986
83   Learning classification trees - Buntine - 1993
11   The Analytics of Uncertainty and Information (context) - Hirschleifer - 1992
9   A method of choosing multiway partitions for classification .. (context) - Biggs, de Ville et al. - 1991
3   Evolutionary Operations (context) - Box - 1969
1   Minimizing the expected cost of classifying patterns by sequ.. (context) - Cox, Jr - 1994
1   Regression and correlation analysis (context) - Lindley - 1990
1   A machine-learning approach to process improvement decision-.. (context) - Cox, Jr - 1995
1   and prediction (context) - Spirites - 1994

Documents on the same site (http://www.vuse.vanderbilt.edu/~dfisher/ai-stat-book/contents.html):   More
A Comparative Evaluation of Sequential Feature Selection.. - Aha, Bankert (1995)   (Correct)
Heuristic Search for Model Structure: the Benefits of.. - Elder, IV (1996)   (Correct)
A Causal Calculus for Statistical Research - Pearl (1996)   (Correct)

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