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.

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

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 ...

Data mining, sometimes called knowledge discovery, is the process of sifting large volumes of data for correlations, patterns, and trends.

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.

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 ...

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 ...