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The Nature of Statistical Learning Theory

by Vladimir N. Vapnik , 1999
"... Statistical learning theory was introduced in the late 1960’s. Until the 1990’s it was a purely theoretical analysis of the problem of function estimation from a given collection of data. In the middle of the 1990’s new types of learning algorithms (called support vector machines) based on the deve ..."
Abstract - Cited by 13236 (32 self) - Add to MetaCart
Statistical learning theory was introduced in the late 1960’s. Until the 1990’s it was a purely theoretical analysis of the problem of function estimation from a given collection of data. In the middle of the 1990’s new types of learning algorithms (called support vector machines) based

Multidimensional Data Modeling for Complex Data

by Torben Bach Pedersen, Christian S. Jensen , 1998
"... Systems for On-Line Analytical Processing (OLAP) considerably ease the process of analyzing business data and have become widely used in industry. OLAP systems primarily employ multidimensional data models to structure their data. However, current multidimensional data models fall short in their ..."
Abstract - Cited by 79 (10 self) - Add to MetaCart
Systems for On-Line Analytical Processing (OLAP) considerably ease the process of analyzing business data and have become widely used in industry. OLAP systems primarily employ multidimensional data models to structure their data. However, current multidimensional data models fall short

Hierarchical Visualization of Multidimensional Data

by Lan Shu, Xiangzhi He
"... Visualization of multidimensional data has been studied for a few decades and is still hot today. However, the proposed approaches have limitations when they meet multidimensional data. Hierarchical approach proposed in this paper is utilized to represent multidimensional data in multi-levels. First ..."
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Visualization of multidimensional data has been studied for a few decades and is still hot today. However, the proposed approaches have limitations when they meet multidimensional data. Hierarchical approach proposed in this paper is utilized to represent multidimensional data in multi

On multidimensional data and modern disks

by Steven W. Schlosser, Jiri Schindler, Stratos Papadomanolakis, Minglong Shao, Anastassia Ailamaki, Christos Faloutsos, Gregory R. Ganger - In Proceedings of the 4th USENIX Conference on File and Storage Technologies. USENIX Association , 2005
"... With the deeply-ingrained notion that disks can efficiently access only one dimensional data, current approaches for mapping multidimensional data to disk blocks either allow efficient accesses in only one dimension, trading off the efficiency of accesses in other dimensions, or equally penalize acc ..."
Abstract - Cited by 20 (6 self) - Add to MetaCart
With the deeply-ingrained notion that disks can efficiently access only one dimensional data, current approaches for mapping multidimensional data to disk blocks either allow efficient accesses in only one dimension, trading off the efficiency of accesses in other dimensions, or equally penalize

Multidimensional Data Visualisation in Meteorology

by Gilberto Câmara, Lúbia Vinhas, Fernando Augusto, Mitsuo Ii, Laercio Namikawa, Baudouin Raoult, Geir Austad, Jens Daabeck
"... Abstract. This work discusses the concept of multidimensional data visualisation and its application to the design and development of meteorological visualisation systems. The ideas presented in the paper have been used as a basis for a new visualisation module for the METVIEW system, developed by E ..."
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Abstract. This work discusses the concept of multidimensional data visualisation and its application to the design and development of meteorological visualisation systems. The ideas presented in the paper have been used as a basis for a new visualisation module for the METVIEW system, developed

Interactive Exploration of Multidimensional Data

by David A. Rabenhorst - Proceedings of the SPIE Symposium on Electronic Imaging , 1994
"... This paper describes a system called Diamond for interactive exploration of multidimensional data. Diamond takes advantage of human pattern recognition and processing capacity, and puts major emphasis on performance and responsiveness. This creates a highly productive symbiosis between the human and ..."
Abstract - Cited by 6 (1 self) - Add to MetaCart
This paper describes a system called Diamond for interactive exploration of multidimensional data. Diamond takes advantage of human pattern recognition and processing capacity, and puts major emphasis on performance and responsiveness. This creates a highly productive symbiosis between the human

Similarity Search for Multidimensional Data Sequences

by Seok-lyong Lee, Seok-ju Chun, Deok-hwan Kim, Ju-hong Lee, Chin-Wan Chung - In ICDE , 2000
"... Time-series data, which are a series of one-dimensional real numbers, have been studied in various database applications. In this paper, we extend the traditional similarity search methods on time-series data to support a multidimensional data sequence, such as a video stream. We investigate the pro ..."
Abstract - Cited by 60 (1 self) - Add to MetaCart
Time-series data, which are a series of one-dimensional real numbers, have been studied in various database applications. In this paper, we extend the traditional similarity search methods on time-series data to support a multidimensional data sequence, such as a video stream. We investigate

Visualizing Class Structure of Multidimensional Data

by Inderjit S. Dhillon, Dharmendra S. Modha, W. Scott Spangler - Proceedings of the 30th Symposium on the Interface: Computing Science and Statistics , 1998
"... We consider the problem of visualizing multidimensional data that has been categorized into classes. Our goal in visualizing is to quickly absorb inter- and intra-class relationships. Towards this end, we introduce class-preserving projections of the multidimensional data onto twodimensional planes ..."
Abstract - Cited by 34 (6 self) - Add to MetaCart
We consider the problem of visualizing multidimensional data that has been categorized into classes. Our goal in visualizing is to quickly absorb inter- and intra-class relationships. Towards this end, we introduce class-preserving projections of the multidimensional data onto twodimensional planes

A Foundation for Capturing and Querying Complex Multidimensional Data

by Torben Bach Pedersen, Christian S. Jensen, Curtis E. Dyreson - Information Systems , 2001
"... On-line analytical processing (OLAP) systems considerably improve data analysis and are finding wide-spread use. OLAP systems typically employ multidimensional data models to structure their data. This paper identifies 11 modeling requirements for multidimensional data models. These requirements are ..."
Abstract - Cited by 73 (13 self) - Add to MetaCart
On-line analytical processing (OLAP) systems considerably improve data analysis and are finding wide-spread use. OLAP systems typically employ multidimensional data models to structure their data. This paper identifies 11 modeling requirements for multidimensional data models. These requirements

Broadcasting Indexed Multidimensional Data

by Susanne Hambrusch , Chuan-ming Liu, Walid G. Aref, Sunil Prabhakar , 2001
"... The continuous broadcast of data together with an index structure is an eective way of disseminating data in a wireless mobile environment. The index allows a mobile client to tune in only when relevant data is available on the channel. This minimizes the tuning time (i.e., the amount of time spe ..."
Abstract - Cited by 2 (0 self) - Add to MetaCart
The continuous broadcast of data together with an index structure is an eective way of disseminating data in a wireless mobile environment. The index allows a mobile client to tune in only when relevant data is available on the channel. This minimizes the tuning time (i.e., the amount of time
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