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» Graph Mining based on a Data Partitioning Approach
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127
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SEMWEB
2009
Springer
15 years 7 months ago
Dynamic Querying of Mass-Storage RDF Data with Rule-Based Entailment Regimes
RDF Schema (RDFS) as a lightweight ontology language is gaining popularity and, consequently, tools for scalable RDFS inference and querying are needed. SPARQL has become recently ...
Giovambattista Ianni, Thomas Krennwallner, Alessan...
109
Voted
AUSAI
2004
Springer
15 years 4 months ago
Using Classification to Evaluate the Output of Confidence-Based Association Rule Mining
Abstract. Association rule mining is a data mining technique that reveals interesting relationships in a database. Existing approaches employ different parameters to search for int...
Stefan Mutter, Mark Hall, Eibe Frank
117
Voted
SDM
2004
SIAM
141views Data Mining» more  SDM 2004»
15 years 2 months ago
Visually Mining through Cluster Hierarchies
Similarity search in database systems is becoming an increasingly important task in modern application domains such as multimedia, molecular biology, medical imaging, computer aid...
Stefan Brecheisen, Hans-Peter Kriegel, Peer Kr&oum...
ICML
2007
IEEE
16 years 1 months ago
Relational clustering by symmetric convex coding
Relational data appear frequently in many machine learning applications. Relational data consist of the pairwise relations (similarities or dissimilarities) between each pair of i...
Bo Long, Zhongfei (Mark) Zhang, Xiaoyun Wu, Philip...
KDD
2009
ACM
180views Data Mining» more  KDD 2009»
16 years 1 months ago
Using graph-based metrics with empirical risk minimization to speed up active learning on networked data
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
Sofus A. Macskassy