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SIGMOD
2007
ACM
151views Database» more  SIGMOD 2007»
14 years 6 months ago
The case for a wide-table approach to manage sparse relational data sets
A "sparse" data set typically has hundreds or even thousands of attributes, but most objects have non-null values for only a small number of these attributes. A popular ...
Eric Chu, Jennifer L. Beckmann, Jeffrey F. Naughto...
FCSC
2008
123views more  FCSC 2008»
13 years 6 months ago
Using Wide Table to manage web data: a survey
With the development of World Wide Web (WWW), storage and utilization of web data has become a big challenge for data management research community. Web data are essentially hetero...
Bin Yang 0002, Weining Qian, Aoying Zhou
ICDE
2006
IEEE
174views Database» more  ICDE 2006»
14 years 7 months ago
Extending RDBMSs To Support Sparse Datasets Using An Interpreted Attribute Storage Format
"Sparse" data, in which relations have many attributes that are null for most tuples, presents a challenge for relational database management systems. If one uses the no...
Jennifer L. Beckmann, Alan Halverson, Rajasekar Kr...
FLAIRS
2007
13 years 8 months ago
Fuzzy Temporal Relations for Fault Management
In this paper we shall introduce an approach that forms a basis for temporal data mining. A relation algebra is applied for the purpose of representing simultaneously dependencies...
Hanna Bauerdick, Björn Gottfried
TNN
2010
176views Management» more  TNN 2010»
13 years 1 months ago
Sparse approximation through boosting for learning large scale kernel machines
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...
Ping Sun, Xin Yao