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 ...

Data mining is an important research area in computer science. It is a computational process of determining patterns in large data. Image mining is one of important techniques in data mining, which ...

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 data ...

Over the past decade, resource misclassification has saddled the mining industry with a costly problem. It’s one Guy Desharnais, Osisko Gold Royalties’ (TSX: OR; NYSE: OR) vice-president for project ...

The totally new Oracle Data Miner 11g Release 2 "Work Flow" Graphical User Interface (GUI) makes data mining easy! An optional free download from OTN for the Oracle Data Mining Option, Oracle Data ...

This paper uses a data-mining approach to develop bankruptcy prediction models suitable for normal and crisis economic conditions. It observes the dynamics of model change from normal to crisis ...

The updated 5th edition of the book Data Mining for Business Analytics from Galit Shmueli and collaborators and published by Wiley is a standard guide to data mining and analytics that adds two new co ...