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.

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

Successful completion of this course demonstrate your achievement of the following learning outcomes for the MS-DS program: Identify the core functionalities of data modeling in the data mining ...

Incomplete data affects classification accuracy and hinders effective data mining. The following techniques are effective for working with incomplete data. The ISOM-DH model handles incomplete ...

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 ...

Call for Papers 15th International Conference on Machine Learning and Data Mining MLDM´2019 www.mldm.de July 18 – 23, 2019 New York, USA Chair: Prof. Dr. Petra Perner Institute of Computer ...