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KDD
2005
ACM
157views Data Mining» more  KDD 2005»
16 years 7 months ago
A fast kernel-based multilevel algorithm for graph clustering
Graph clustering (also called graph partitioning) -- clustering the nodes of a graph -- is an important problem in diverse data mining applications. Traditional approaches involve...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
KDD
2002
ACM
182views Data Mining» more  KDD 2002»
16 years 7 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...
VLSID
2002
IEEE
159views VLSI» more  VLSID 2002»
16 years 7 months ago
Challenges in the Design of a Scalable Data-Acquisition and Processing System-on-Silicon
Increasing complexity of the functionalities and the resultant growth in number of gates integrated in a chip coupled with shrinking geometries and short cycle time requirements br...
Karanth Shankaranarayana, Soujanna Sarkar, R. Venk...
SIGMOD
2007
ACM
145views Database» more  SIGMOD 2007»
16 years 7 months ago
Why off-the-shelf RDBMSs are better at XPath than you might expect
To compensate for the inherent impedance mismatch between the relational data model (tables of tuples) and XML (ordered, unranked trees), tree join algorithms have become the prev...
Torsten Grust, Jan Rittinger, Jens Teubner
SIGMOD
2007
ACM
125views Database» more  SIGMOD 2007»
16 years 7 months ago
Optimizing mpf queries: decision support and probabilistic inference
Managing uncertain data using probabilistic frameworks has attracted much interest lately in the database literature, and a central computational challenge is probabilistic infere...
Héctor Corrada Bravo, Raghu Ramakrishnan
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