Technical Terms Data Stream Classification: The process of categorising continuously generated data in real time, often under strict memory and processing constraints.

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 ...

Unmanned farms achieve precise management of planting and breeding targets and intelligent decision-making in production ...