Most known frequent item set mining algorithms work by enumerating candidate item sets and pruning infrequent candidates. An alternative method, which works by intersecting transa...
Finding a small set of representative instances for large datasets can bring various benefits to data mining practitioners so they can (1) build a learner superior to the one cons...
Maximizing only the relevance between queries and documents will not satisfy users if they want the top search results to present a wide coverage of topics by a few representative...
Yi Liu, Benyu Zhang, Zheng Chen, Michael R. Lyu, W...
We present new algorithms on commodity graphics processors to perform fast computation of several common database operations. Specifically, we consider operations such as conjunct...
Naga K. Govindaraju, Brandon Lloyd, Wei Wang 0010,...
Abstract. Relational database systems are becoming increasingly popular in the scientific community to support the interactive exploration of large volumes of data. In this scenar...