| Alternate document: Details Collective, Hierarchical Clustering from Distributed, Heterogeneous Data (99) Erik L. Johnson, Hillol Kargupta |
(Enter summary)
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... (Update)
Cited by: More
A New Distributed Data Mining Model Based on Similarity - Tao Li Computer (2003)
(Correct)
Algorithms and Software for Collaborative.. - Caragea, Zhang..
(Correct)
A Framework for Learning from Distributed Data Using.. - Caragea, Silvescu.. (2004)
(Correct)
Similar documents (at the sentence level):
28.8%: Collective Data Mining: A New Perspective Toward Distributed.. - Kargupta, al (1999)
(Correct)
6.9%: The Collective Data Mining: A Technology For Ubiquitous Data.. - Kargupta, Park (1998)
(Correct)
Active bibliography (related documents): More All
1.0: Distributed Multivariate Regression Using Wavelet-based.. - Hershberger, Kargupta (1999)
(Correct)
0.7: Distributed Data Mining Bibliography - Hillol
(Correct)
0.7: Gene Expression and Fast Construction of Distributed.. - Kargupta, Park (2000)
(Correct)
Similar documents based on text: More All
0.4: Collective Data Mining From Distributed.. - Kargupta.. (1998)
(Correct)
0.3: Random Value Distortion' Does It Really Preserve Privacy? - Kargupta, Datta
(Correct)
0.2: Collective, Hierarchical Clustering from Distributed.. - Johnson, Kargupta (1999)
(Correct)
Related documents from co-citation: More All
9: Meta-learning in distributed data mining systems: Issues and Approaches
- Prodromidis, Chan - 2000
6: A data clustering algorithm on distributed memory machines
- Dhillon, Modha
6: Induction of Decision Trees (context) - Quinlan - 1986
BibTeX entry: (Update)
Kargupta, H., Park, B., Hershbereger, D., Johnson, E.: Collective data mining: A new perspective toward distributed data mining. Accepted in the Advances in Distributed Data Mining, Eds: Hillol Kargupta and Philip Chan, AAAI/MIT Press (1999) http://citeseer.ist.psu.edu/kargupta99collective.html More
@misc{ kargupta99collective,
author = "H. Kargupta and B. Park and D. Hershbereger and E. Johnson",
title = "Collective data mining: A new perspective toward distributed data mining",
text = "Kargupta, H., Park, B., Hershbereger, D., Johnson, E.: Collective data
mining: A new perspective toward distributed data mining. Accepted in the
Advances in Distributed Data Mining, Eds: Hillol Kargupta and Philip Chan,
AAAI/MIT Press (1999)",
year = "1999",
url = "citeseer.ist.psu.edu/kargupta99collective.html" }
Citations (may not include all citations):
1529
A method for obtaining digital signatures and public-key cry..
- Rivest, Shamir et al. - 1978 ACM DBLP
1359
Induction of decision trees (context) - Quinlan - 1986 ACM DBLP
976
Machine Learning (context) - Mitchell - 1997 ACM DBLP
657
Bagging predictors
- Breiman - 1996 ACM DBLP
512
KQML as an agent communication language
- Finin, Labrou et al. - 1997 ACM DBLP
231
The use of multiple measurements in taxonomic problems (context) - Fisher - 1936
223
The Art of Computer Programming (context) - Knuth - 1968
165
Adapted Wavelet Analysis from Theory to Software (context) - Wickerhauser - 1994 ACM
96
Learning decision trees using fourier spectrum
- Kushilevitz, Mansour - 1991
86
Jam: Java agents for meta-learning over distributed database..
- Stolfo - 1997 DBLP
59
Toward parallel and distributed learning by meta-learning
- Chan, Stolfo - 1993
45
Experiments on multistrategy learning by meta-learning
- Chan, Stolfo - 1993 ACM
44
IEEE Computer Graphics and Applications (context) - Stollnitz, DeRose et al. - 1995
44
IEEE Computer Graphics and Applications (context) - Stollnitz, DeRose et al. - 1995
40
Data Analysis and Regression (context) - Mosteller, Tukey - 1977
39
A data-clustering algorithm on distributed memory multiproce..
- Dhillon, Modha - 1999 ACM DBLP
36
Toward scalable learning with non-uniform class and cost dis..
- Chan, Stolfo - 1998
28
Inductive policy: The pragmatics of bias selection (context) - Provost, Buchanan - 1995 DBLP
20
distributed data mining using an agent based architecture (context) - Kargupta, Hamzaoglu et al. - 1997
16
The nonuniform Walsh-schema transform (context) - Bridges, Goldberg - 1991 DBLP
16
Combining predictors (context) - Breiman - 1999 ACM
16
The preliminary design of papyrus: A system for high perform..
- Grossman - 1999
15
The WoRLD: Knowledge discovery from multiple distributed dat..
- Aronis, Kolluri et al. - 1997
13
Distributed cooperative bayesian learning strategies (context) - Yamanishi - 1997 ACM DBLP
11
PADMA: Parallel data mining agent for scalable text classica.. (context) - Kargupta, Hamzaoglu et al. - 1996
10
Distributed data mining of probabilistic knowledge (context) - Lam, Segre - 1997 ACM DBLP
9
Knowledge probing in distributed data mining (context) - Guo, Sutiwaraphun - 1999
8
An architecture for distributed data mining (context) - Subramonian - 1999
7
Ecient mining of association rules in distributed databases (context) - Cheung, Ng et al. - 1996
7
a and K. Sarkar. Function induction, gene expression, and ev.. (context) - Kargupt - 1999
6
Distributed multivariate regression using wavelet-based coll..
- Hershberger, Kargupta - 1999 ACM DBLP
4
A data mining framework for adaptive intrusion detection
- Lee, Stolfo et al. - 1999
4
Fast construction of distributed and decomposed evolutionary.. (context) - Kargupta, Park - 1999
2
Scalable data mining from distributed (context) - Kargupta, Johnson et al. - 1998
2
Image compression using the haar wavelet transform (context) - Mulcahy - 1997
1
The World Accoring to Wavelets (context) - Hubbard - 1998
1
Model combination in the multiple-data-base scenario (context) - Ting, Low - 1997
1
Plotting and scheming with wavelets
- Mulcahy - 1996
1
Large scale distributed learning of decision trees from hete.. (context) - Kargupta, Park - 1999
1
Distribution comparison for site-specic regression modeling .. (context) - Pokrajac, Fiez et al. - 1999
1
To be published in the Lecture Notes in Computer Science (context) - Johnson, Kargupta et al. - 1999
The graph only includes citing articles where the year of publication is known.
Documents on the same site (http://www.eecs.wsu.edu/~hillol/pubs.html): More
Further Experimentations On The Scalability Of The GEMGA - Kargupta, Bandyopadhyay (1998)
(Correct)
Function Induction, Gene Expression, And Evolutionary.. - Kargupta, Sarkar
(Correct)
A Perspective on the Foundation and Evolution of the Linkage.. - Kargupta, al.
(Correct)
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC