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» Efficient Correlation Search from Graph Databases
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KDD
2010
ACM
197views Data Mining» more  KDD 2010»
14 years 7 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
MIR
2006
ACM
200views Multimedia» more  MIR 2006»
15 years 3 months ago
An adaptive graph model for automatic image annotation
Automatic keyword annotation is a promising solution to enable more effective image search by using keywords. In this paper, we propose a novel automatic image annotation method b...
Jing Liu, Mingjing Li, Wei-Ying Ma, Qingshan Liu, ...
ICDE
2003
IEEE
149views Database» more  ICDE 2003»
15 years 10 months ago
Indexing Weighted-Sequences in Large Databases
We present an index structure for managing weightedsequences in large databases. A weighted-sequence is defined as a two-dimensional structure where each element in the sequence i...
Haixun Wang, Chang-Shing Perng, Wei Fan, Sanghyun ...
DEXA
2010
Springer
172views Database» more  DEXA 2010»
14 years 9 months ago
Ranking Objects Based on Attribute Value Correlation
There has been a great deal of interest in recent years on ranking query results in relational databases. This paper presents a novel method to rank objects (e.g., tuples) by explo...
Jaehui Park, Sang-goo Lee
BMCBI
2010
183views more  BMCBI 2010»
14 years 9 months ago
SING: Subgraph search In Non-homogeneous Graphs
Background: Finding the subgraphs of a graph database that are isomorphic to a given query graph has practical applications in several fields, from cheminformatics to image unders...
Raffaele Di Natale, Alfredo Ferro, Rosalba Giugno,...