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Mining Multidimensional Data Using Clustering Techniques
Regensburg, Germany September 03-September 07
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/DEXA.2007.11218th International Conference on Data ...
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Marco Pagani, Gloria Bordogna, Massimiliano Valle, "Mining Multidimensional Data Using Clustering Techniques," Database and Expert Systems Applications, International Workshop on, pp. 382-386, 18th International Conference on Database and Expert Systems Applications (DEXA 2007), 2007.
 
 
BibTex
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@article{ 10.1109/DEXA.2007.112,
author = {Marco Pagani and Gloria Bordogna and Massimiliano Valle},
title = {Mining Multidimensional Data Using Clustering Techniques},
journal ={Database and Expert Systems Applications, International Workshop on},
volume = {0},
year = {2007},
issn = {1529-4188},
pages = {382-386},
doi = {http://doi.ieeecomputersociety.org/10.1109/DEXA.2007.112},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Database and Expert Systems Applications, International Workshop on
TI - Mining Multidimensional Data Using Clustering Techniques
SN - 1529-4188
SP382
EP386
A1 - Marco Pagani,
A1 - Gloria Bordogna,
A1 - Massimiliano Valle,
PY - 2007
KW - null
VL - 0
JA - Database and Expert Systems Applications, International Workshop on
ER -
 
Marco Pagani, CNR-IDPA, Italy
Gloria Bordogna, CNR-IDPA, Italy
Massimiliano Valle, Petroceramics S.r.l., Italy
We describe a novel data mining procedure to discover relevant associations in multidimensional data. The procedure applies hierarchical clustering to distinct pattern sets (views) of the same dataset and identifies the best partitions in the two dendrograms that exhibit the greatest correlation. Finally the most relevant associations between pattern sets characterizing the most correlated clusters in the identified partitions are discovered. An application of the procedure to identify association between compositional views and performance views of a dataset of materials is discussed.
Citation:
Marco Pagani, Gloria Bordogna, Massimiliano Valle, "Mining Multidimensional Data Using Clustering Techniques," dexa, pp.382-386, 18th International Conference on Database and Expert Systems Applications (DEXA 2007), 2007
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