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SDM
2004
SIAM
194views Data Mining» more  SDM 2004»
15 years 8 months ago
Finding Frequent Patterns in a Large Sparse Graph
Graph-based modeling has emerged as a powerful abstraction capable of capturing in a single and unified framework many of the relational, spatial, topological, and other characteri...
Michihiro Kuramochi, George Karypis
IJSWIS
2008
135views more  IJSWIS 2008»
15 years 7 months ago
Efficient Processing of RDF Queries with Nested Optional Graph Patterns in an RDBMS
Relational technology has shown to be very useful for scalable Semantic Web data management. Numerous researchers have proposed to use RDBMSs to store and query voluminous RDF dat...
Artem Chebotko, Shiyong Lu, Mustafa Atay, Farshad ...
SIGIR
2002
ACM
15 years 6 months ago
Unsupervised document classification using sequential information maximization
We present a novel sequential clustering algorithm which is motivated by the Information Bottleneck (IB) method. In contrast to the agglomerative IB algorithm, the new sequential ...
Noam Slonim, Nir Friedman, Naftali Tishby
VLSISP
2002
93views more  VLSISP 2002»
15 years 6 months ago
Efficient VLSI Architectures for Multiuser Channel Estimation in Wireless Base-Station Receivers
Abstract. This paper presents a reduced-complexity, fixed-point algorithm and efficient real-time VLSI architectures for multiuser channel estimation, one of the core baseband proc...
Sridhar Rajagopal, Srikrishna Bhashyam, Joseph R. ...
SGAI
2010
Springer
15 years 5 months ago
Induction of Modular Classification Rules: Using Jmax-pruning
The Prism family of algorithms induces modular classification rules which, in contrast to decision tree induction algorithms, do not necessarily fit together into a decision tree s...
Frederic T. Stahl, Max Bramer