Collective Data Mining: A New Perspective Toward Distributed Data Analysis

DMCA

Collective Data Mining: A New Perspective Toward Distributed Data Analysis (1999)

Cached

Download Links

[www.eecs.wsu.edu]
[www.eecs.wsu.edu]

Other Repositories/Bibliography

CiteULike

by Hillol Kargupta , Byung-Hoon , Daryl Hershberger , Erik Johnson

Venue:	Advances in Distributed and Parallel Knowledge Discovery
Citations:	105 - 15 self

BibTeX

@INPROCEEDINGS{Kargupta99collectivedata,
    author = {Hillol Kargupta and Byung-Hoon and Daryl Hershberger and Erik Johnson},
    title = {Collective Data Mining: A New Perspective Toward Distributed Data Analysis},
    booktitle = {Advances in Distributed and Parallel Knowledge Discovery},
    year = {1999},
    pages = {133--184},
    publisher = {AAAI/MIT Press}
}

OpenURL

Abstract

This paper introduces the collective data mining (CDM) framework, a new approach toward distributed data mining (DDM) from heterogeneous sites. It points out that naive approaches to distributed data analysis in a heterogeneous environment may result in ambiguous or incorrect global data models. It also notes that any function can be expressed in a distributed fashion using a set of appropriate basis functions and orthogonal basis functions can be eectively used for developing a general DDM framework that guarantees correct local analysis and correct aggregation of local data models with minimal data communication. This paper develops the foundation of CDM, discusses decision tree learning and polynomial regression in CDM for discrete and continuous variables, and describes the BODHI, a CDM-based experimental system for distributed knowledge discovery. 1 Introduction Distributed data mining (DDM) is a fast growing area that deals with the problem of nding data patterns in a...

Keyphrases

collective data mining naive approach general ddm framework correct local analysis new approach data mining local data model appropriate basis function introduction distributed data mining decision tree learning continuous variable heterogeneous site data analysis cdm-based experimental system minimal data communication incorrect global data model polynomial regression distributed fashion data pattern heterogeneous environment orthogonal basis function correct aggregation knowledge discovery

DMCA