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PKDD
2010
Springer
235views Data Mining» more  PKDD 2010»
15 years 2 months 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...
CICLING
2009
Springer
15 years 1 months ago
NLP for Shallow Question Answering of Legal Documents Using Graphs
Abstract. Previous work has shown that modeling relationships between articles of a regulation as vertices of a graph network works twice as better than traditional information ret...
Alfredo Monroy, Hiram Calvo, Alexander F. Gelbukh
BCB
2010
156views Bioinformatics» more  BCB 2010»
14 years 11 months ago
RepFrag: a graph based method for finding repeats and transposons from fragmented genomes
Growing sequencing and assembly efforts have been met by the advances in high throughput machines. However, the presence of massive amounts of repeats and transposons complicates ...
Nirmalya Bandyopadhyay, A. Mark Settles, Tamer Kah...
CORR
2011
Springer
197views Education» more  CORR 2011»
14 years 11 months ago
High-Throughput Transaction Executions on Graphics Processors
OLTP (On-Line Transaction Processing) is an important business system sector in various traditional and emerging online services. Due to the increasing number of users, OLTP syste...
Bingsheng He, Jeffrey Xu Yu
TMM
2011
169views more  TMM 2011»
14 years 11 months ago
Empowering Visual Categorization With the GPU
—Visual categorization is important to manage large collections of digital images and video, where textual metadata is often incomplete or simply unavailable. The bag-of-words mo...
Koen E. A. van de Sande, Theo Gevers, Cees G. M. S...
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