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 ...

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 ...

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

Yoonkyung Lee, Yi Lin, Grace Wahba, Multicategory Support Vector Machines: Theory and Application to the Classification of Microarray Data and Satellite Radiance Data, Journal of the American ...