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» Mining Multiple Large Databases
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133
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BIBM
2007
IEEE
133views Bioinformatics» more  BIBM 2007»
15 years 2 months ago
Mining Clinical Data with a Temporal Dimension: A Case Study
Clinical databases store large amounts of information about patients and their medical conditions. Data mining techniques can extract relationships and patterns holding in this we...
Michele Berlingerio, Francesco Bonchi, Fosca Giann...
115
Voted
BMCBI
2008
127views more  BMCBI 2008»
15 years 2 months ago
MetaMine - A tool to detect and analyse gene patterns in their environmental context
Background: Modern sequencing technologies allow rapid sequencing and bioinformatic analysis of genomes and metagenomes. With every new sequencing project a vast number of new pro...
Uta Bohnebeck, Thierry Lombardot, Renzo Kottmann, ...
124
Voted
KDD
2002
ACM
182views Data Mining» more  KDD 2002»
16 years 3 months ago
ANF: a fast and scalable tool for data mining in massive graphs
Graphs are an increasingly important data source, with such important graphs as the Internet and the Web. Other familiar graphs include CAD circuits, phone records, gene sequences...
Christopher R. Palmer, Phillip B. Gibbons, Christo...
138
Voted
WWW
2006
ACM
16 years 3 months ago
Mining search engine query logs for query recommendation
This paper presents a simple and intuitive method for mining search engine query logs to get fast query recommendations on a large scale industrial-strength search engine. In orde...
Zhiyong Zhang, Olfa Nasraoui
135
Voted
PKDD
2010
Springer
235views Data Mining» more  PKDD 2010»
15 years 15 days ago
Online Structural Graph Clustering Using Frequent Subgraph Mining
The goal of graph clustering is to partition objects in a graph database into different clusters based on various criteria such as vertex connectivity, neighborhood similarity or t...
Madeleine Seeland, Tobias Girschick, Fabian Buchwa...