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LREC
2010
177views Education» more  LREC 2010»
14 years 11 months ago
Automatic Discovery of Semantic Relations using MindNet
Information extraction deals with extracting entities (such as people,organizations or locations) and named relations between entities (such as "People born-in Country")...
Zareen Syed, Evelyne Viegas, Savas Parastatidis
SPAA
1990
ACM
15 years 1 months ago
Optimal Cooperative Search in Fractional Cascaded Data Structures
Fractional cascading is a technique designed to allow e cient sequential search in a graph with catalogs of total size n. The search consists of locating a key in the catalogs alo...
Roberto Tamassia, Jeffrey Scott Vitter
SDM
2010
SIAM
182views Data Mining» more  SDM 2010»
14 years 11 months ago
HCDF: A Hybrid Community Discovery Framework
We introduce a novel Bayesian framework for hybrid community discovery in graphs. Our framework, HCDF (short for Hybrid Community Discovery Framework), can effectively incorporate...
Keith Henderson, Tina Eliassi-Rad, Spiros Papadimi...
ICDM
2010
IEEE
147views Data Mining» more  ICDM 2010»
14 years 7 months ago
Subgroup Discovery Meets Bayesian Networks -- An Exceptional Model Mining Approach
Whenever a dataset has multiple discrete target variables, we want our algorithms to consider not only the variables themselves, but also the interdependencies between them. We pro...
Wouter Duivesteijn, Arno J. Knobbe, Ad Feelders, M...
CINQ
2004
Springer
163views Database» more  CINQ 2004»
15 years 3 months ago
Frequent Itemset Discovery with SQL Using Universal Quantification
Algorithms for finding frequent itemsets fall into two broad classes: (1) algorithms that are based on non-trivial SQL statements to query and update a database, and (2) algorithms...
Ralf Rantzau