Data mining techniques have been widely used for extracting knowledge from large amounts of data. Monitoring deforestation is utmost important for the developing countries.

Prediction – Prediction is a data mining technique that is often used in combination with other data mining techniques. It involves analyzing trends, classification, pattern matching, and relation.

Various data mining techniques, such as classification, clustering, and predictive analysis, help in transforming raw data into actionable intelligence.

Effective data mining techniques are essential to using data for competitive advantage.

Step 1: Handling of incomplete data Incomplete data affects classification accuracy and hinders effective data mining. The following techniques are effective for working with incomplete data.

Same as CSCA 5512Same as CSCA 5512 Specialization: Data Mining Foundations and Practice Instructor: Dr. Qin (Christine) Lv, Associate Professor of Computer Science Prior knowledge needed: Familiarity ...

Predictive analytics, pattern recognition, and classification problems are not new. Long used in the financial services and insurance industries, predictive analytics is about using statistics, data ...

July 18 – 23, 2019 New York, USA Chair: Prof. Dr. Petra Perner Institute of Computer Vision and applied Computer Sciences, IBaI Leipzig/Germany Tutorials Data Mining Tutorial Prof. Dr. Petra ...