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

P-tree Classification of Yeast Gene Deletion Data

Genomics data has many properties that make it different from "typical" relational data. The presence of multi-valued attributes as well as the large number of null values led us to a P-tree-based bit-vector representation in which matching 1-values were counted to evaluate similarity between genes. Quantitative information such as the number of interactions was also included in the classifier. Interaction information allowed us to extend the known properties of one protein with information on its interacting neighbors. Different feature attributes were weighted independently. Relevance of different attributes was systematically evaluated through optimization of weights using a genetic algorithm. The AROC value for the classified list was used as the fitness function for the genetic algorithm

Digital Archive Network for Anthropology

The Digital Archive Network for Anthropology (DANA) is a federation of distributed, interoperable databases, each with specific content of value to archaeology, physical anthropology and ethnology. DANA will include two-dimensional imagery and accurate, three-dimensional models of material objects (i.e. artifacts and fossils). These models can be variously manipulated to be viewed from all angles, and are sufficiently precise to allow for a range of detailed measurements. This network will allow reliable, "anytime, anywhere" access to content and services for education and research. The project is currently funded by the National Science Digital Libraries (NSDL) program (NSF 2001), with the goal of developing and implementing a digital libraries collection for anthropological materials. This presentation describes the DANA project, with a focus on the real contributions and potential benefits that derive from the use of information technology to advance research and education in anthropology