There are thousands of papers about feature selection in high dimensional data sets in order to improve the classifiers either in term of cost or speed or etc. However, till now I'm unable to find these high dimensional data, most of the papers synthesis and generate data sets and other papers just prove their models theoretically only
So, please let me know is there any high dimensional data sets that i can use to test the classifiers?
LIBSVMDatabase include data sets with more than 29 million features KDD Cup 2010 dataset
KDD Cup 99 Dataset. http://kdd.ics.uci.edu/databases/kddcup99/
kddcup99.html.
KDD CUP 99 Data set is a higher dimensional data set and also the intrusion dataset i.e., KDD CUP NS 99 is also a higher dimensional data set .
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