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Feature selection is a very important part for datamining, machinery learning and pattern recognition. Distance plays a vital role in Support Vector Machines (SVM) theory. Relief-F algorithm solves feature redundancy well but doesn't guarantee the maximum distance. To overcome this problem, a feature subset selection algorithm is proposed which takes SVM average distance as estimation rule and sequential...
The different criteria are usually used in real data mining, in our study of finding the living pattern of customers in hotels, we adopt fuzzy data mining that combine apriori algorithm with different min-support and min-confidence and fuzzy set theory to copy with the criteria the yielded rules are not only useful to the hotel decision-makers, but also to those who want to do the business. In this...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.