8 years 10 months ago
A survey of multilinear subspace learning for tensor data
Increasingly large amount of multidimensional data are being generated on a daily basis in many applications. This leads to a strong demand for learning algorithms to extract usef...
Haiping Lu, Konstantinos N. Plataniotis, Anastasio...
9 years 2 months ago
Flow-based scatterplots for sensitivity analysis
Visualization of multi-dimensional data is challenging due to the number of complex correlations that may be present in the data but that are difficult to be visually identified. ...
Yu-Hsuan Chan, Carlos D. Correa, Kwan-Liu Ma
119views Database» more  DATESO 2009»
9 years 5 months ago
Efficiency Improvement of Narrow Range Query Processing in R-tree
Indexing methods for efficient processing of multidimensional data are very requested in many fields, like geographical information systems, drawing documentations etc. Well-known ...
Peter Chovanec, Michal Krátký
9 years 5 months ago
BigCube: A Metamodel for Managing Multidimensional Data
New emerging scientific applications in geosciences, sensor and spatio-temporal domains require adaptive analysis frameworks that can handle large datasets with multiple dimension...
Ganesh Viswanathan, Markus Schneider
90views more  TVCG 2008»
9 years 7 months ago
Rolling the Dice: Multidimensional Visual Exploration using Scatterplot Matrix Navigation
Scatterplots remain one of the most popular and widely-used visual representations for multidimensional data due to their simplicity, familiarity and visual clarity, even if they l...
Niklas Elmqvist, Pierre Dragicevic, Jean-Daniel Fe...
112views more  JDWM 2007»
9 years 7 months ago
Empowering the OLAP Technology to Support Complex Dimension Hierarchies
Comprehensive data analysis has become indispensable in a variety of domains. OLAP (On-Line Analytical Processing) systems tend to perform poorly or even fail when applied to comp...
Svetlana Mansmann, Marc H. Scholl
104views more  JDWM 2006»
9 years 7 months ago
Navigation Rules for Exploring Large Multidimensional Data Cubes
Navigating through multidimensional data cubes is a nontrivial task. Although On-Line Analytical Processing (OLAP) provides the capability to view multidimensional data through ro...
Navin Kumar, Aryya Gangopadhyay, George Karabatis,...
129views more  IJCSA 2006»
9 years 7 months ago
The SH-Tree: A Novel and Flexible Super Hybrid Index Structure for Similarity Search on Multidimensional Data
Approaches to indexing and searching feature vectors are an indispensable factor to support similarity search effectively and efficiently. Such feature vectors extracted from real...
Tran Khanh Dang
185views Visualization» more  VDA 2010»
9 years 9 months ago
Visualizing multidimensional data through granularity-dependent spatialization
Spatialization is a special kind of visualization that projects multidimensional data into low-dimensional representational spaces by making use of spatial metaphors. Spatializati...
Sofia Kontaxaki, Eleni Tomai, Margarita Kokla, Mar...
9 years 10 months ago
An Object Oriented Multidimensional Data Model for OLAP
Online Analytical Processing (OLAP) data is frequently organized in the form of multidimensional data cubes each of which is used to examine a set of data values, called measures, ...
Nguyen Thanh Binh, A. Min Tjoa, Roland Wagner