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Displaying 1-5 out of 5 total
A New ILP-based Concept Discovery Method for Business Intelligence
Found in: Data Engineering Workshops, 22nd International Conference on
By Seda Daglar Toprak, Pinar Senkul, Yusuf Kavurucu, Ismail Hakki Toroslu
Issue Date:April 2007
pp. 962-969
In this work, we propose a multi-relational concept discovery method for business intelligence applications. Multi-relational data mining finds interesting patterns that span over multiple tables. The obtained patterns reveal useful information for decisio...
SiS: Significant subnetworks in massive number of network topologies
Found in: 2012 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
By Md Mahmudul Hasan,Yusuf Kavurucu,Tamer Kahveci
Issue Date:October 2012
pp. 1-6
Availability of abundant biological network data and its noisy nature necessitates extracting reliable subnetworks hidden in it. One key step towards that goal is to discover the subnetworks that appear frequently in a collection of networks. This paper pr...
MPI-based Parallelization for ILP-based Multi-relational Concept Discovery
Found in: Machine Learning and Applications, Fourth International Conference on
By Alev Mutlu,Pinar Senkul,Yusuf Kavurucu
Issue Date:December 2011
pp. 59-62
Multi-relational concept discovery is a predictive learning task that aims to discover descriptions of a target concept in the light of past experiences. Parallelization has emerged as a solution to deal with efficiency and scalability issues relating to l...
Confidence-Based Concept Discovery in Relational Databases
Found in: Computer Science and Information Engineering, World Congress on
By Yusuf Kavurucu, Pinar Senkul, Ismail Hakki Toroslu
Issue Date:April 2009
pp. 282-286
Multi-relational data mining has become popular due to the limitations of propositional problem definition in structured domains and the tendency of storing data in relational databases. Several relational knowledge discovery systems have been developed em...
Large-Scale Signaling Network Reconstruction
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
By Eyup Serdar Ayaz, Seyedsasan Hashemikhabir, Tamer Kahveci, Tolga Can, Yusuf Kavurucu
Issue Date:November 2012
pp. 1696-1708
Reconstructing the topology of a signaling network by means of RNA interference (RNAi) technology is an underdetermined problem especially when a single gene in the network is knocked down or observed. In addition, the exponential search space limits the e...