See this document in CiteSeerX!

A Study of Complications in Real-world Machine Learning (1996)  (Make Corrections)  (1 citation)
Foster John Provost, Andrea Pohoreckyj Danyluk



  Home/Search   Context   Related

 
View or download:
croftj.net/~fawcet...tDanyluk96.ps.gz
hp.com/personal/To...tDanyluk96.ps.gz
Cached:  PS.gz  PS  PDF   Image  Update  Help

From:  ai.iit.nrc.ca/bi...costsensitive (more)
(Enter author homepages)

Rate this article: (best)
  Comment on this article  
(Enter summary)

Abstract: This paper is a case study of a long-term project studying the application of machine learning to the problem of dispatching technicians to fix faults in the local loop of a telephone network. The bottom line of the study is that simple machine learning techniques can increase the effectiveness of local-loop dispatch. However, presenting a convincing argument to that effect has been far from simple. The case study shows how almost all of the complexity in this application of machine learning is ... (Update)

Context of citations to this paper:   More

...respect to interest rate in bank loans domain . 91 List of Tables 2. 1 An example cost matrix of NYNEX MAX domain [40]. 10 2.2 Cost matrix for which the optimal prediction is always C 1 and thus no learning is needed....

Cited by:   More
Benefit Maximizing Classification Using Feature Intervals - Ikizler (2002)   (Correct)

Similar documents (at the sentence level):
31.4%:   Problem Definition, Data Cleaning, and Evaluation: A Classifier.. - Provost   (Correct)
27.0%:   Learning from Bad Data - Provost, Danyluk (1995)   (Correct)

Active bibliography (related documents):   More   All
0.4:   Intelligent Telecommunication Technologies - Weiss, Eddy, Weiss (1998)   (Correct)
0.3:   Unknown - Paris September Knowledge   (Correct)
0.3:   Encoding Shape and Spatial Relations: The Role of Receptive.. - Jacobs, Kosslyn (1994)   (Correct)

Similar documents based on text:   More   All
0.3:   Selective Ethnographic Analysis - Qualitative Modeling for Work.. - Sierhuis   (Correct)
0.2:   H1.9.1 Telecommunications Network Diagnosis - Danyluk, Provost   (Correct)
0.2:   Analysis and Visualization of Classifier Performance.. - Provost, Fawcett (1997)   (Correct)

BibTeX entry:   (Update)

F. J. Provost and A. P. Danyluk. A Study of Complications in Real-world Machine Learning. Available at http://citeseer.nj.nec.com/19634.html. http://citeseer.ist.psu.edu/provost96study.html   More

@misc{ provost-study,
  author = "F. Provost and A. Danyluk",
  title = "A Study of Complications in Real-world Machine Learning",
  text = "F. J. Provost and A. P. Danyluk. A Study of Complications in Real-world
    Machine Learning. Available at http://citeseer.nj.nec.com/19634.html.",
  url = "citeseer.ist.psu.edu/provost96study.html" }
Citations (may not include all citations):
2177   Programs for Machine Learning (context) - Quinlan - 1992
216   Very Simple Classification Rules Perform Well on Most Common.. (context) - Holte - 1993  ACM   DBLP
32   Small Disjuncts in Action: Learning to Diagnose Errors in th.. (context) - Danyluk, Provost  DBLP
31   Decision Analysis and Expert Systems (context) - Henrion, Breese et al. - 1991  ACM   DBLP
17   Finding Accurate Frontiers: A KnowledgeIntensive Approach to.. - Pazzani, Brunk - 1993
15   Learning with Rare Cases and Small Disjuncts - Weiss - 1995  DBLP
14   Decision Trees in Pattern Recognition (context) - Dattatreya, Kanal - 1985
12   Clinical Decision Analysis (context) - Weinstein, Fineberg - 1980
9   An Introduction to the Theory of Error (context) - Beers - 1957
7   NYNEX MAX: A Telephone Trouble Screening Expert (context) - Rabinowitz, Flamholz et al. - 1991  DBLP
7   Real World (context) - Saitta, Giordana et al. - 1995
5   Goal-Directed Inductive Learning: Trading off Accuracy for R.. (context) - Provost - 1994
4   Cost Sensitive Specialization - Webb - 1996
3   Decision Analysis: An Overview (context) - Keeney - 1982
3   Tuning Numeric Parameters to Troubleshoot a Telephone Networ.. (context) - Merz, Pazzani et al. - 1996
3   in Pattern Recognition 2, p. 189-239. Elsevier Science Publi.. (context) - Kanal, Rosenfeld et al. - 1973
2   Learning a Robust Rule Set (context) - Lee - 1995  ACM
2   Adaptive Expert Systems: Applying Machine Learning to NYNEX .. (context) - Danyluk, Provost
1   Reducing Misclassification Costs (context) - Park, AAAI et al. - 1994  DBLP

Documents on the same site (http://ai.iit.nrc.ca/bibliographies/cost-sensitive.html):   More
Combining Data Mining and Machine Learning for Effective User.. - Tom Fawcett (1996)   (Correct)
Learning Active Classifiers - Russell Greiner (1996)   (Correct)
Cost-Sensitive Feature Reduction Applied to a Hybrid.. - Lavrac, Gamberger.. (1996)   (Correct)

Online articles have much greater impact   More about CiteSeer.IST   Add search form to your site   Submit documents   Feedback  

CiteSeer.IST - Copyright Penn State and NEC