In recent years, privacy preserving data mining has become very important because of the proliferation of large amounts of data on the internet. Many data sets are inherently high...
Abstract. Ordinal data play an important part in financial forecasting. For example, advice from expert sources may take the form of "bullish", "bearish" or &qu...
Advances in geographical information systems (GIS) and supporting data collection technology has resulted in the rapid collection of a huge amount of spatial data. However, known ...
Using visualization techniques to explore and understand high-dimensional data is an efficient way to combine human intelligence with the immense brute force computation power ava...
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...