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» Efficiently Mining Long Patterns from Databases
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CORR
2000
Springer
120views Education» more  CORR 2000»
15 years 6 months ago
Scaling Up Inductive Logic Programming by Learning from Interpretations
When comparing inductive logic programming (ILP) and attribute-value learning techniques, there is a trade-off between expressive power and efficiency. Inductive logic programming ...
Hendrik Blockeel, Luc De Raedt, Nico Jacobs, Bart ...
FPGA
2008
ACM
623views FPGA» more  FPGA 2008»
15 years 7 months ago
From the bitstream to the netlist
We present an in-depth analysis of the Xilinx bitstream format. The information gathered in this paper allows bitstream compilation and decompilation. While not actually compromis...
Jean-Baptiste Note, Éric Rannaud
KDD
2012
ACM
185views Data Mining» more  KDD 2012»
13 years 8 months ago
A framework for summarizing and analyzing twitter feeds
The firehose of data generated by users on social networking and microblogging sites such as Facebook and Twitter is enormous. Real-time analytics on such data is challenging wit...
Xintian Yang, Amol Ghoting, Yiye Ruan, Srinivasan ...
IJKDB
2010
141views more  IJKDB 2010»
15 years 3 months ago
Mining Frequent Boolean Expressions: Application to Gene Expression and Regulatory Modeling
Regulatory network analysis and other bioinformatics tasks require the ability to induce and represent arbitrary boolean expressions from data sources. We introduce a novel framew...
Mohammed Javeed Zaki, Naren Ramakrishnan, Lizhuang...
CIKM
2009
Springer
15 years 10 months ago
Efficient processing of group-oriented connection queries in a large graph
We study query processing in large graphs that are fundamental data model underpinning various social networks and Web structures. Given a set of query nodes, we aim to find the g...
James Cheng, Yiping Ke, Wilfred Ng