In this work, we propose a multi-relational concept discovery method for business intelligence applications. Multi-relational data mining finds interesting patterns that span ove...
Seda Daglar Toprak, Pinar Senkul, Yusuf Kavurucu, ...
With the tremendous growth of system memories, memoryresident databases are increasingly becoming important in various domains. Newer memories provide a structured way of storing ...
Jayaprakash Pisharath, Alok N. Choudhary, Mahmut T...
Regular expression pattern matching is widely used in computational biology. Searching through a database of sequences for a motif (a simple regular expression), or its variations...
We present a new index for approximate string matching. The index collects text q-samples, that is, disjoint text substrings of length q, at fixed intervals and stores their posi...
Gonzalo Navarro, Erkki Sutinen, Jani Tanninen, Jor...
Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...