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Abstract: Free Parallel Data Mining Bin Li New York University, 1998 Research Advisor: Professor Dennis Shasha Data mining is the emerging field of applying statistical and artificial intelligence techniques to the problem of finding novel, useful, and non-trivial patterns from large databases. This thesis presents a framework for easily and efficiently parallelizing data mining algorithms. We propose an acyclic directed graph structure, exploration dag (E- dag), to characterize the computation model of... (Update)
Context of citations to this paper: More
...The resultant single tree is more understandable than the multiple model hybrid. Shasha and his research group have implemented PC4.5 (Li 1998; Shasha 1998) a parallel version of C4.5 (Quinlan 1993) which uses a different instantiation of the framework of Figure 5....
.... architecture based on PLinda which enables parallel data mining programs to run on networks of workstations in a fault tolerant manner [3]. We provide templates for writing parallel data mining programs in PLinda and describe how to run these programs on a network of...
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BibTeX entry: (Update)
Li, B. (1998). Free Parallel Data Mining. Ph.d. thesis, Department of Computer Science, New York University. http://citeseer.ist.psu.edu/li98free.html More
@inproceedings{ li98free,
author = "Bin Li and Dennis Shasha",
title = "Free parallel data mining",
pages = "541--543",
year = "1998",
url = "citeseer.ist.psu.edu/li98free.html" }
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