Title :
Smooth representation of rankings
Author :
Mazumdar, Arya ; Milenkovic, Olgica
Author_Institution :
Dept. of ECE, Univ. of Minnesota- Twin Cities, Minneapolis, MN, USA
Abstract :
An encoding of data for digital storage is called smooth, if, for any small change in the raw data, only a proportionately small change has to be made in the encoded data. In this paper, we consider the problem of smooth encoding for ordinal data, i.e., ranking of objects. It is shown that, simple efficient smooth encoding for storage (as well as compression) of rankings is possible with respect to the well-known Kendall τ metric on permutations.
Keywords :
data handling; storage management; Kendall metric; data encoding; digital storage; smooth encoding problem; smooth rankings representation; Educational institutions; Encoding; Error correction codes; Measurement; Tin; Vectors;
Conference_Titel :
Information Sciences and Systems (CISS), 2014 48th Annual Conference on
Conference_Location :
Princeton, NJ
DOI :
10.1109/CISS.2014.6814149
