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ICDE
2009
IEEE
170views Database» more  ICDE 2009»
14 years 9 months ago
Semantics of Ranking Queries for Probabilistic Data and Expected Ranks
Abstract-- When dealing with massive quantities of data, topk queries are a powerful technique for returning only the k most relevant tuples for inspection, based on a scoring func...
Graham Cormode, Feifei Li, Ke Yi
PKDD
2004
Springer
155views Data Mining» more  PKDD 2004»
14 years 1 months ago
Ensemble Feature Ranking
A crucial issue for Machine Learning and Data Mining is Feature Selection, selecting the relevant features in order to focus the learning search. A relaxed setting for Feature Sele...
Kees Jong, Jérémie Mary, Antoine Cor...
IRI
2007
IEEE
14 years 2 months ago
Acronym-Expansion Recognition and Ranking on the Web
The paper presents a study on large-scale automatic extraction of acronyms and associated expansions from Web data and from the user interactions with this data through Web search...
Alpa Jain, Silviu Cucerzan, Saliha Azzam
WWW
2002
ACM
14 years 8 months ago
Topic-sensitive PageRank
In the original PageRank algorithm for improving the ranking of search-query results, a single PageRank vector is computed, using the link structure of the Web, to capture the rel...
Taher H. Haveliwala
ACMICEC
2006
ACM
148views ECommerce» more  ACMICEC 2006»
14 years 2 months ago
Web based information for product ranking in e-business: a fuzzy approach
In this paper we have introduced a methodology to rank the available products in the Internet market. These rankings are based on the customers’ own preferences and also on the ...
B. K. Mohanty, K. Passi