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» Hierarchical exploration of large multivariate data sets
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IDEAS
1999
IEEE
123views Database» more  IDEAS 1999»
15 years 1 months ago
Improving OLAP Performance by Multidimensional Hierarchical Clustering
Data-warehousing applications cope with enormous data sets in the range of Gigabytes and Terabytes. Queries usually either select a very small set of this data or perform aggregat...
Volker Markl, Frank Ramsak, Rudolf Bayer
AUIC
2006
IEEE
15 years 3 months ago
Virtual planning rooms (ViPR): a 3D visualisation environment for hierarchical information
The Future Operations Centre Analysis Laboratory (FOCAL) at Australia’s Defence Science and Technology Organisation (DSTO) is aimed at exploring new paradigms for situation awar...
Michael Broughton
SIGMOD
2002
ACM
246views Database» more  SIGMOD 2002»
15 years 9 months ago
Hierarchical subspace sampling: a unified framework for high dimensional data reduction, selectivity estimation and nearest neig
With the increased abilities for automated data collection made possible by modern technology, the typical sizes of data collections have continued to grow in recent years. In suc...
Charu C. Aggarwal
CAINE
2009
14 years 7 months ago
Clustering Customer Transactions: A Rough Set Based Approach
An efficient customer behavior analysis is important for good Recommender System. Customer transaction clustering is usually the first step towards the analysis of customer behavi...
Arunava Saha, Darsana Das, Dipanjan Karmakar, Dili...
ICDIM
2010
IEEE
14 years 7 months ago
Data mining and automatic OLAP schema generation
Data mining aims at extraction of previously unidentified information from large databases. It can be viewed as an automated application of algorithms to discover hidden patterns a...
Muhammad Usman, Sohail Asghar, Simon Fong