Temporal Data Classification Using Linear Classifiers

Data classification is usually based on measurements recorded at the same time. This paper considers temporal data classification where the input is a temporal database that describes measurements over a period of time in history while the predicted class is expected to occur in the future. We describe a new temporal classification method that improves the accuracy of standard classification methods. The benefits of the method is tested on weather forecasting using the meteorological database from the Texas Commission on Environmental Quality.

• Type: Conference
• Year: 2009
• Where: ADBIS
• Authors: Peter Z. Revesz, Thomas Triplet
• Keywords: ADBIS 2009, Data Classification, Database, Temporal Classification Method, Temporal Data Classification