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SIGMOD
2007
ACM
151views Database» more  SIGMOD 2007»
14 years 5 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 5 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 6 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 7 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»
12 years 11 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