Multimedia Data Mining Using P-Trees

The DataSURG group at NDSU has a long-standing interest in data mining remotely sensed imagery (RSI) for agricultural, forestry and other prediction and analysis applications. A spatial data structure, the Peano count tree, was developed that provided an efficient, lossless, data mining ready representation of the many types of data involved in these applications. This data structure has made possible the mining of multiple very large data sets, including time-sequence of RSI and multimedia land data. The Peano count tree (P-tree) technology provides an efficient way to store and mine images of any format, together with pertinent land data of still other formats. With th