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KDD
2010
ACM
197views Data Mining» more  KDD 2010»
13 years 2 months ago
Semi-supervised feature selection for graph classification
The problem of graph classification has attracted great interest in the last decade. Current research on graph classification assumes the existence of large amounts of labeled tra...
Xiangnan Kong, Philip S. Yu
SAC
2008
ACM
13 years 4 months ago
Selectivity estimation in spatial networks
Modern applications requiring spatial network processing pose many interesting query optimization challenges. In many cases, query processing depends on the corresponding graph si...
Eleftherios Tiakas, Apostolos N. Papadopoulos, Ale...
DEXA
1998
Springer
119views Database» more  DEXA 1998»
13 years 9 months ago
Building Consistent Sample Databases to Support Information System Evolution and Migration
Prototype databases are needed in any information system development process to support data-intensive applications development. It is common practice to populate these databases u...
Jesus Bisbal, Bing Wu, Deirdre Lawless, Jane Grims...
KDD
2008
ACM
192views Data Mining» more  KDD 2008»
14 years 5 months ago
Partial least squares regression for graph mining
Attributed graphs are increasingly more common in many application domains such as chemistry, biology and text processing. A central issue in graph mining is how to collect inform...
Hiroto Saigo, Koji Tsuda, Nicole Krämer
BMCBI
2008
208views more  BMCBI 2008»
13 years 4 months ago
GraphFind: enhancing graph searching by low support data mining techniques
Background: Biomedical and chemical databases are large and rapidly growing in size. Graphs naturally model such kinds of data. To fully exploit the wealth of information in these...
Alfredo Ferro, Rosalba Giugno, Misael Mongiov&igra...