Ranking importance based information on the world wide web

Abstract

Identifying useful features for classification and forecast tasks from a ranked data is highly difficult and challenging. By ranking user popularity ratings from normalised area histograms, a method of feature selection for ranked data inspired from the law of vital few is proposed. We propose that the attributes that are most stable against the variations… (More)
DOI: 10.1145/2345396.2345540

13 Figures and Tables

Topics

  • Presentations referencing similar topics