Abstract. Data declustering speeds up large data set retrieval by partitioning the data across multiple disks or sites and performing retrievals in parallel. Performance is determi...
Hak-Cheol Kim, Mario A. Lopez, Scott T. Leutenegge...
Abstract. The last years there is an increasing interest for query processing techniques that take into consideration the dominance relationship between objects to select the most ...
Eleftherios Tiakas, Apostolos N. Papadopoulos, Yan...
We have developed a MultiMedia Visual Information Seeking (MMVIS) Environment that is the first system to support an integrated approach to the direct manipulation specification o...
We describe a novel class of distributions, called Mondrian processes, which can be interpreted as probability distributions over kd-tree data structures. Mondrian processes are m...
Measurements at different time points and positions in large temporal or spatial databases requires effective and efficient data mining techniques. For several parallel measureme...
Ira Assent, Ralph Krieger, Boris Glavic, Thomas Se...