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DEBU
2010
108views more  DEBU 2010»
13 years 11 months ago
Weighted Set-Based String Similarity
Consider a universe of tokens, each of which is associated with a weight, and a database consisting of strings that can be represented as subsets of these tokens. Given a query st...
Marios Hadjieleftheriou, Divesh Srivastava
WEBNET
2000
14 years 26 days ago
An Intelligent User Interface oriented to non-expert users
: This paper presents the design criteria for an Intelligent User Interface to a search engine of an on-line document data base. The Interface is aimed at users that have little or...
Fulvio Corno, Laura Farinetti, Giovanni Squillero
VLDB
2004
ACM
120views Database» more  VLDB 2004»
14 years 4 months ago
Merging the Results of Approximate Match Operations
Data Cleaning is an important process that has been at the center of research interest in recent years. An important end goal of effective data cleaning is to identify the relatio...
Sudipto Guha, Nick Koudas, Amit Marathe, Divesh Sr...
APPROX
2005
Springer
90views Algorithms» more  APPROX 2005»
14 years 5 months ago
Tight Bounds for String Reconstruction Using Substring Queries
We resolve two open problems presented in [8]. First, we consider the problem of reconstructing an unknown string T over a fixed alphabet using queries of the form “does the st...
Dekel Tsur
ICDE
2010
IEEE
262views Database» more  ICDE 2010»
14 years 11 months ago
Approximate String Search in Spatial Databases
Abstract-- This work presents a novel index structure, MHRtree, for efficiently answering approximate string match queries in large spatial databases. The MHR-tree is based on the ...
Bin Yao, Feifei Li, Marios Hadjieleftheriou, Kun H...
SIGMOD
2009
ACM
155views Database» more  SIGMOD 2009»
14 years 11 months ago
Efficient top-k algorithms for fuzzy search in string collections
An approximate search query on a collection of strings finds those strings in the collection that are similar to a given query string, where similarity is defined using a given si...
Rares Vernica, Chen Li