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Abstract: Classification decision tree algorithms are used extensively for data mining in many domains such as retail target marketing, fraud detection, etc. Highly parallel algorithms for constructing classification decision trees are desirable for dealing with large data sets in reasonable amount of time. Algorithms for building classification decision trees have a natural concurrency, but are difficult to parallelize due to the inherent dynamic nature of the computation. In this paper, we present... (Update)
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BibTeX entry: (Update)
A. Srivastava, E.-H. Han, V. Kumar, and V. Singh. Parallel formulations of decision-tree classification algorithms. In Proc. 1998 International Conference on Parallel Processing, 1998. http://citeseer.ist.psu.edu/srivastava98parallel.html More
@article{ srivastava99parallel,
author = "Anurag Srivastava and Eui-Hong Han and Vipin Kumar and Vineet Singh",
title = "Parallel Formulations of Decision-Tree Classification Algorithms",
journal = "Data Mining and Knowledge Discovery",
volume = "3",
number = "3",
pages = "237-261",
year = "1999",
url = "citeseer.ist.psu.edu/srivastava98parallel.html" }
Citations (may not include all citations):1262 Classification and Regression Trees (context) - Breiman, Friedman et al. - 1984
1051 Optimizations and Machine Learning (context) - Goldberg, in - 1989
281 Programs for Machine Learning (context) - Quinlan - 1993
227 An introduction to computing with neural nets (context) - Lippmann - 1987
200 Neural and Statistical Classification (context) - Spiegelhalter, Michie et al. - 1994
145 SPRINT: A scalable parallel classifier for data mining - Shafer, Agrawal et al. - 1996
111 SLIQ: A fast scalable classifier for data mining - Mehta, Agrawal et al. - 1996
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62 Megainduction: Machine Learning on Very Large Databases (context) - Catlett - 1991
45 Experiments on multistrategy learning by metalearning - Chan, Stolfo - 1993
36 Unstructured tree search on simd parallel computers - Karypis, Kumar - 1994
27 ScalParC: A new scalable and efficient parallel classificati.. - Joshi, Karypis et al. - 1998
21 Introduction to Parallel Computing: Algorithm Design and Ana.. (context) - Kumar, Grama et al. - 1994
18 A one-pass algorithm for accurately estimating quantiles for.. - Alsabti, Ranka et al. - 1997
15 Use of contextual information for feature ranking and discre.. - Hong - 1997
14 Experiments on the costs and benefits of windowing in ID (context) - Wirth, Catlett - 1988
11 Many-to-many communication with bounded traffic (context) - Shankar, Alsabti et al. - 1995
7 CLOUDS: Classification for large or out-of-core datasets (context) - Alsabti, Ranka et al. - 1998
4 Metalearning for multistrategy learning and parallel learnin.. (context) - Chan, Stolfo - 1993
4 parallel classifier for data mining (context) - Srivastava, Singh et al. - 1997
The graph only includes citing articles where the year of publication is known.
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