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SLIQ: A Fast Scalable Classifier for Data Mining (1996)  (Make Corrections)  (111 citations)
Manish Mehta, Rakesh Agrawal, Jorma Rissanen
Extending Database Technology



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Abstract: . Classification is an important problem in the emerging field of data mining. Although classification has been studied extensively in the past, most of the classification algorithms are designed only for memory-resident data, thus limiting their suitability for data mining large data sets. This paper discusses issues in building a scalable classifier and presents the design of SLIQ 1 , a new classifier. SLIQ is a decision tree classifier that can handle both numeric and categorical... (Update)

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59:   SPRINT: A scalable parallel classifier for data mining - Shafer, Agrawal et al. - 1996
49:   Classification and Regression Trees (context) - Breiman, Friedman et al. - 1984
45:   Programs for machine learning (context) - Quinlan - 1993

BibTeX entry:   (Update)

M. Mehta, R. Agrawal, J. Rissanen. SLIQ: A fast scalable classifier for data mining. In 5th Intl. Conf. on Extending Database Technology, March 1996. http://citeseer.ist.psu.edu/mehta96sliq.html   More

@inproceedings{ mehta96sliq,
    author = "Manish Mehta and Rakesh Agrawal and Jorma Rissanen",
    title = "{SLIQ}: A Fast Scalable Classifier for Data Mining",
    booktitle = "Extending Database Technology",
    pages = "18-32",
    year = "1996",
    url = "citeseer.ist.psu.edu/mehta96sliq.html" }
Citations (may not include all citations):
2177   Programs for Machine Learning (context) - Quinlan - 1993
1262   Classification and Regression Trees (context) - Breiman - 1984
417   Stochastic Complexity in Statistical Inquiry (context) - Rissanen - 1989
200   Neural and Statistical Classification (context) - Michie, Spiegelhalter et al. - 1994
185   Inferring decision trees using minimum description length pr.. (context) - Quinlan, Rivest - 1989
102   Computer Systems that Learn: Classification and Prediction M.. (context) - Weiss, Kulikowski - 1991
100   Database mining: A performance perspective - Agrawal, Imielinski et al. - 1993  DBLP
95   An interval classifier for database mining applications - Agrawal - 1992  ACM   DBLP
62   Megainduction: Machine Learning on Very Large Databases (context) - Catlett - 1991
59   Coding decision trees (context) - Wallace, Patrick - 1993  ACM   DBLP
54   Meta-learning for multistrategy and parallel learning (context) - Chan, Stolfo - 1993
35   MDL-based decision tree pruning - Mehta, Rissanen et al. - 1995  DBLP
1   to IND Version (context) - Res, Intro - 1992



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