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KDD
2007
ACM
168views Data Mining» more  KDD 2007»
16 years 4 months ago
Finding tribes: identifying close-knit individuals from employment patterns
We present a family of algorithms to uncover tribes--groups of individuals who share unusual sequences of affiliations. While much work inferring community structure describes lar...
Lisa Friedland, David Jensen
KDD
2005
ACM
181views Data Mining» more  KDD 2005»
16 years 4 months ago
Evaluating similarity measures: a large-scale study in the orkut social network
Online information services have grown too large for users to navigate without the help of automated tools such as collaborative filtering, which makes recommendations to users ba...
Ellen Spertus, Mehran Sahami, Orkut Buyukkokten
KDD
2005
ACM
137views Data Mining» more  KDD 2005»
16 years 4 months ago
Pattern-based similarity search for microarray data
One fundamental task in near-neighbor search as well as other similarity matching efforts is to find a distance function that can efficiently quantify the similarity between two o...
Haixun Wang, Jian Pei, Philip S. Yu
KDD
2004
ACM
195views Data Mining» more  KDD 2004»
16 years 4 months ago
Improved robustness of signature-based near-replica detection via lexicon randomization
Detection of near duplicate documents is an important problem in many data mining and information filtering applications. When faced with massive quantities of data, traditional d...
Aleksander Kolcz, Abdur Chowdhury, Joshua Alspecto...
VLDB
2003
ACM
144views Database» more  VLDB 2003»
16 years 4 months ago
Business-to-business interactions: issues and enabling technologies
Business-to-Business (B2B) technologies pre-date the Web. They have existed for at least as long as the Internet. B2B applications were among the first to take advantage of advance...
Brahim Medjahed, Boualem Benatallah, Athman Bougue...