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VLDB
1999
ACM
159views Database» more  VLDB 1999»
15 years 11 months ago
Aggregation Algorithms for Very Large Compressed Data Warehouses
Many efficient algorithms to compute multidimensional aggregation and Cube for relational OLAP have been developed. However, to our knowledge, there is nothing to date in the lite...
Jianzhong Li, Doron Rotem, Jaideep Srivastava
KDD
1998
ACM
84views Data Mining» more  KDD 1998»
15 years 11 months ago
Towards the Personalization of Algorithms Evaluation in Data Mining
Like model selectionin statistics,the choiceof appropriate Data Mining Algorithms (DM-Algorithms) is a very importanttask in the processof KnowledgeDiscovery.Due to this fact it i...
Gholamreza Nakhaeizadeh, Alexander Schnabl
INFOSCALE
2007
ACM
15 years 9 months ago
Ontology driven adaptive data processing in wireless sensor networks
It is important to provide adaptive data processing in wireless sensor networks in order to deal with various applications. In this paper,we propose a WIreless Sensor Networks Ont...
Yuheng Hu, Zhendong Wu, Ming Guo
NIPS
2003
15 years 8 months ago
Generalised Propagation for Fast Fourier Transforms with Partial or Missing Data
Discrete Fourier transforms and other related Fourier methods have been practically implementable due to the fast Fourier transform (FFT). However there are many situations where ...
Amos J. Storkey
199
Voted
NIPS
1998
15 years 8 months ago
Learning from Dyadic Data
Dyadic data refers to a domain with two nite sets of objects in which observations are made for dyads, i.e., pairs with one element from either set. This type of data arises natur...
Thomas Hofmann, Jan Puzicha, Michael I. Jordan