Abstract. We study the problem of learning partitions using equivalence constraints as input. This is a binary classification problem in the product space of pairs of datapoints. ...
While the persistent data of many advanced database applications, such as OLAP and scientific studies, are characterized by very high dimensionality, typical queries posed on thes...
Neural Network approaches to time series prediction are briefly discussed, and the need to specify an appropriately sized input window identified. Relevant theoretical results fro...
Data Warehouse (DWH) systems allow to analyze business objects relevant to an enterprise organization (e.g., orders or customers). Analysts are interested in the states of these bu...
Dynamic communication systems (DCS) are complex because of their unboundedness in several dimensions. They have an unbounded and changing number of objects, a dynamically changing...