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

Some common techniques in data mining include clustering, classification, association rule mining, and regression analysis. Examples of Data Mining Applications: ...

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 ...