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 ...

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 ...

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.

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 ...

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 ...

Course TopicsData analytics (DA) is a science that combines data mining, machine learning, and statistics. DA examines raw data with the purpose of discovering ...