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Toward Parallel and Distributed Learning by Meta-Learning (1993)  (Make Corrections)  (59 citations)
Philip K. Chan and Salvatore J. Stolfo Department of Computer Science...
Working Notes AAAI Work. Knowledge Discovery in Databases



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Abstract: Much of the research in inductive learning concentrates on problems with relatively small amounts of data. With the coming age of very large network computing, it is likely that orders of magnitude more data in databases will be available for various learning problems of real world importance. Learning techniques are central to knowledge discovery and the approach proposed in this paper may substantially increase the amount of data a knowledge discovery system can handle effectively.... (Update)

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BibTeX entry:   (Update)

P. K. Chan and S. J. Stolfo. Toward parallel and distributed learning by meta-learning. In AAAI Workshop in Knowledge Discovery in Databases, pages 227--240, 1993. http://citeseer.ist.psu.edu/chan93toward.html   More

@inproceedings{ chan93toward,
  author = "Phillip K. Chan and Salvatore J. Stolfo",
  title = "Toward parallel and distributed learning by meta-learning",
  booktitle = "{Working Notes AAAI Work. Knowledge Discovery in Databases}",
  pages = "227--240",
  year = "1993",
  url = "citeseer.ist.psu.edu/chan93toward.html",
  url = "citeseer.nj.nec.com/chan93toward.html" }
Citations (may not include all citations):
1359   Induction of decision trees (context) - Quinlan - 1986
1262   Classification and Regression Trees (context) - Breiman, Friedman et al. - 1984
367   Stacked generalization - Wolpert - 1992
273   The strength of weak learnability - Schapire - 1990
233   The CN2 induction algorithm - Clark, Niblett - 1987
180   Boosting a weak learning algorithm by majority - Freund - 1990
171   A weighted nearest neighbor algorithm for learning with symb.. - Cost, Salzberg - 1993
130   Refinement of approximate domain theories by knowledge-based.. - Towell, Shavlik et al. - 1990
70   Predicting the secondary structure of globular proteins usin.. (context) - Qian, Sejnowski - 1988
68   A hybrid system for protein secondary structure prediction (context) - Zhang, Mesirov et al. - 1992
54   Meta-learning for multistrategy and parallel learning (context) - Chan, Stolfo - 1993
48   Systems for knowledge discovery in databases - Matheus, Chan et al. - 1993
47   Megainduction: A test flight (context) - Catlett - 1991
45   Experiments on multistrategy learning by meta-learning - Chan, Stolfo - 1993
32   Introduction to IND and Recursive Partitioning (context) - Buntine, Caruana - 1991
20   An efficient implementation of the backpropagation algorithm.. (context) - Zhang, Mckenna et al. - 1989
14   Experiments on the costs and benefits of windowing in ID (context) - Wirth, Catlett - 1988
11   Induction over large data bases (context) - Quinlan - 1979
11   ILS: A framework for multi-paradigmatic learning (context) - Silver, Frawley et al. - 1990
8   Toward multistrategy parallel and distributed learning in se.. (context) - Chan, Stolfo - 1993
7   The need for biases in learning generalizaions (context) - Mitchell - 1980
6   Speech recognition in parallel (context) - Stolfo, Galil et al. - 1989
4   Selection of learning methods using an adaptive model of kno.. - Holder - 1991
4   High performance computing and communications for grand chal.. (context) - Wah - 1993



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