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 ...

Classification of deforestation is one of the primary objectives in the analysis of remotely sensed data. The present study focuses on monitoring accurate results of deforestation and forest ...

This would risk missing important categories. With data mining it is possible to let the data itself determine the groups. This is one of the black-box type of algorithms that are hard to understand.

The visual data mining process, seen in the first part of this two-part article, revealed patterns in four dimensions between cumulative gas well production and independent variables. "Jump ...

MAYA is an algorithm for ultra-efficient data mining of large single-cell datasets. MAYA deciphers the complexity of the biological pathways at stake in complex human diseases.

With the book, readers learn how to implement a variety of popular data-mining algorithms in R to tackle business problems and opportunities. Material covered in-depth includes both statistical and ...

A new data-driven technique for obstacle avoidance in autonomous vehicles is reported in the International Journal of Vehicle ...