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CICLING
2005
Springer
14 years 1 months ago
Name Discrimination by Clustering Similar Contexts
It is relatively common for different people or organizations to share the same name. Given the increasing amount of information available online, this results in the ever growing...
Ted Pedersen, Amruta Purandare, Anagha Kulkarni
CORR
2010
Springer
165views Education» more  CORR 2010»
13 years 6 months ago
Monte Carlo Methods for Top-k Personalized PageRank Lists and Name Disambiguation
We study a problem of quick detection of top-k Personalized PageRank lists. This problem has a number of important applications such as finding local cuts in large graphs, estima...
Konstantin Avrachenkov, Nelly Litvak, Danil Nemiro...
ICDM
2005
IEEE
138views Data Mining» more  ICDM 2005»
14 years 1 months ago
Labeling Unclustered Categorical Data into Clusters Based on the Important Attribute Values
Sampling has been recognized as an important technique to improve the efficiency of clustering. However, with sampling applied, those points which are not sampled will not have t...
Hung-Leng Chen, Kun-Ta Chuang, Ming-Syan Chen
VMCAI
2009
Springer
14 years 2 months ago
Shape-Value Abstraction for Verifying Linearizability
lue Abstraction for Verifying Linearizability Viktor Vafeiadis Microsoft Research, Cambridge, UK This paper presents a novel abstraction for heap-allocated data structures that kee...
Viktor Vafeiadis
CORIA
2011
12 years 11 months ago
Mining the Web for lists of Named Entities
Named entities play an important role in Information Extraction. They represent unitary namable information within text. In this work, we focus on groups of named entities of the s...
Arlind Kopliku, Mohand Boughanem, Karen Pinel-Sauv...