Correlation clustering is a type of clustering that uses a basic form of input data: For every pair of data items, the input specifies whether they are similar (belonging to the s...
Abstract. We study computationally hard combinatorial problems arising from the important engineering question of how to maximize the number of connections that can be simultaneous...
Manual debugging is expensive. And the high cost has motivated extensive research on automated fault localization in both software engineering and data mining communities. Fault l...
A novel approach for similarity search on the protein structure databases is proposed. PADS (Protein Alignment by Directional shape Signatures) incorporates the three dimensional ...
S. Alireza Aghili, Divyakant Agrawal, Amr El Abbad...
Let h > w > 0 be two fixed integers. Let H be a random hypergraph whose hyperedges are uniformly of size h. To w-orient a hyperedge, we assign exactly w of its vertices posi...