Learn More
Data mining partitioning is performed on attributes to increase data concentration. To choose effective partitioning attributes, a rough set based technique that measures the crispiness of the partitioning is presented. This technique is based on the mathematical theory of rough sets. This method is a simple and efficient approach to measure the crispiness(More)
We are interested in autonomous or unsupervised data mining. In the broad context of our work, we were interested in partitioning data inorder to increase the information within each partition. An important aspect of this was data granulation. Clustering is an important aspect of data mining; it enables us to granulize the data. However, classic clustering(More)
  • 1