DM
2011
13 years 6 months ago
2011
The Fibonacci cube Γn is the subgraph of the n-cube induced by the binary strings that contain no two consecutive 1’s. The Lucas cube Λn is obtained
DAWAK
2009
Springer
13 years 9 months ago
2009
Springer
Enhancing on line analytical processing through efficient cube computation plays a key role in Data Warehouse management. Hashing, grouping and mining techniques are commonly used ...
TPDS
1998
13 years 11 months ago
1998
—Three-dimensional packaging technologies are critical for enabling ultra-compact, massively parallel processors (MPPs) for embedded applications. Through-wafer optical interconn...
ISI
2002
Springer
13 years 11 months ago
2002
Springer
Dealing with large volumes of data, OLAP data cubes aggregated values are often spoiled by errors due to missing values in detailed data. This paper suggests to adjust aggregate an...
DKE
2000
13 years 11 months ago
2000
A range query applies an aggregation operation (e.g., SUM) over all selected cells of an OLAP data cube where the selection is speci
JGTOOLS
2007
13 years 11 months ago
2007
Existing environment mapping techniques include spherical mapping and cube mapping. These techniques have inherent flaws that cause sampling issues and aliasing. Continuous cube ...
CAD
2005
Springer
13 years 11 months ago
2005
Springer
Since the publication of the original Marching Cubes algorithm, numerous variations have been proposed for guaranteeing water-tight constructions of triangulated approximations of...
PUC
2006
13 years 11 months ago
2006
In this paper we introduce the design and development of the Learning Cube as a novel tangible learning appliance. Using the common shape of a cube we implemented a general learnin...
JDWM
2006
13 years 11 months ago
2006
The pre-computation of data cubes is critical to improving the response time of On-Line Analytical Processing (OLAP) systems and can be instrumental in accelerating data mining ta...
CORR
2007
Springer
13 years 11 months ago
2007
Springer
Data analysis applications typically aggregate data across many dimensions looking for anomalies or unusual patterns. The SQL aggregate functions and the GROUP BY operator produce ...