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» Extracting Landmarks with Data Mining Methods
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WSDM
2010
ACM
266views Data Mining» more  WSDM 2010»
14 years 5 months ago
Gathering and Ranking Photos of Named Entities with High Precision, High Recall, and Diversity
Knowledge-sharing communities like Wikipedia and automated extraction methods like those of DBpedia enable the construction of large machine-processible knowledge bases with relat...
Bilyana Taneva, Mouna Kacimi, Gerhard Weikum
ICDM
2008
IEEE
136views Data Mining» more  ICDM 2008»
14 years 2 months ago
Generalized Framework for Syntax-Based Relation Mining
Supervised approaches to Data Mining are particularly appealing as they allow for the extraction of complex relations from data objects. In order to facilitate their application i...
Bonaventura Coppola, Alessandro Moschitti, Daniele...
BMCBI
2010
133views more  BMCBI 2010»
13 years 7 months ago
Learning an enriched representation from unlabeled data for protein-protein interaction extraction
Background: Extracting protein-protein interactions from biomedical literature is an important task in biomedical text mining. Supervised machine learning methods have been used w...
Yanpeng Li, Xiaohua Hu, Hongfei Lin, Zhihao Yang
BIOSTEC
2008
162views Healthcare» more  BIOSTEC 2008»
13 years 9 months ago
On Extraction of Nutritional Patterns (NPS) Using Fuzzy Association Rule Mining
This paper proposes a framework for mining market basket data to generate Nutritional Patterns (NPs) and a method for analysing generated nutritional patterns using F...
M. Sulaiman Khan, Maybin K. Muyeba, Frans Coenen
ICDM
2006
IEEE
86views Data Mining» more  ICDM 2006»
14 years 1 months ago
Turning Clusters into Patterns: Rectangle-Based Discriminative Data Description
The ultimate goal of data mining is to extract knowledge from massive data. Knowledge is ideally represented as human-comprehensible patterns from which end-users can gain intuiti...
Byron J. Gao, Martin Ester