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Abstract: Distributed Data Mining(DDM) has been very active and enjoying a growing amount attention since its inception. Current DDM techniques regard the distributed data sets as a single virtual table and assume there exists a global model which could be generated if the data were combined/centralized. This paper proposes a similaritybased distributed data mining(SBDDM) framework which explicitly take the differences among distributed sources into consideration. A new similarity measure is introduced... (Update)
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Distributed Data Mining Bibliography - Hillol (Correct)
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0.9: Similarity Testing Between Heterogeneous Basket Datasets - Li, al. (2002) (Correct)
0.9: Association-Based Similarity Testing and Its Applications - Tao Li Department (Correct)
0.9: March 2002 - Un Vers Ty (Correct)
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BibTeX entry: (Update)
T. Li, S. Zhu, and M. Ogihara. A New Distributed Data Mining Model Based on Similarity. ACM SAC Data Mining Track, March 2003. http://citeseer.ist.psu.edu/li03new.html More
@misc{ li03new,
author = "T. Li and S. Zhu and M. Ogihara",
title = "A New Distributed Data Mining Model Based on Similarity",
text = "T. Li, S. Zhu, and M. Ogihara. A New Distributed Data Mining Model Based
on Similarity. ACM SAC Data Mining Track, March 2003.",
year = "2003",
url = "citeseer.ist.psu.edu/li03new.html" }
Citations (may not include all citations):87 Similarity-based queries for time series data - Rafiei, Mendelzon - 1997
61 Fast algorithms for projected clustering - Aggarwal, Wolf et al. - 1999
54 MAFIA: A maximal frequent itemset algorithm for transactiona.. (context) - Burdick, Calimlim et al. - 2001
54 Meta-learning for multistrategy and parallel learning (context) - Chan, Stolfo - 1993
41 Finding similar time series - Das, Gunopulos et al. - 1997
30 Efficient mining of association rules in distributed databas.. - Cheung, Ng et al. - 1996
29 Collective data mining: A new perspective toward distributed.. - Kargupta, Park et al. - 2000
27 A framework for measuring changes in data characteristics - Ganti, Gehrke et al. - 1999
24 Efficiently mining maximal frequent itemsets - Gouda, Zaki - 2001
14 Large-scale parallel data mining (context) - Zaki, Ho - 2000
13 Distributed cooperative bayesian learning strategies (context) - Yamanishi - 1997
10 Distributed data mining of probabilistic knowledge (context) - Lam, Segre - 1997
8 Defining diff as a data mining primitive (context) - Subramonian - 1998
7 A framework for finding distributed data mining strategies t.. - Turinsky, Grossman - 2000
6 Clustering distributed homogeneous datasets - Parthasarathy, Ogihara - 2000
4 CoFD: An algorithm for non-distance based clustering in high.. - Zhu, Li et al. - 2002
4 Towards real time discovery from distributed information sou.. - Cho, Wuthrich - 1998
4 Context-based similarity methods for categorical attributes (context) - Das, Mannila - 2000
2 Advances in distributed and parallel data mining (context) - Kargupta, Chan - 2000
1 Similarity testing between heterogeneous basket databases - Li, Ogihara et al. - 2002
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