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 ...

Classification is often confused with another data mining technique, clustering. As we’ll see later on, both techniques offer stark differences for businesses. Outlier and Anomaly Detection ...

Classification: If an existing structure is already known, data mining can be used to classify new cases into these pre-determined categories.

Aurore Delaigle, Peter Hall, Achieving near perfect classification for functional data, Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 74, No. 2 (MARCH 2012), pp.

Brief Description of Course Content Introduces basic data mining concepts and techniques for discovering interesting patterns hidden in large-scale data sets, focusing on issues relating to ...

Image mining is one of important techniques in data mining, which involved in multiple disciplines. Image classification refers the tagging the images into a number of predefined sets.

This article discusses statistical and data mining methods used in credit scoring, highlighting their applications and effectiveness in evaluating credit risk.

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