Currently, misleading findings during data mining are mostly caused by the dirty data including that caused by mistakes of inconsistent examples. A reduction-based algorithm for helping us to check ...

Many things in the world can be abstracted as a network, and it's important to detect the community structure. Nowadays, many classification algorithms are used to detect the community, but its ...

Classification Analysis with supervised algorithms KNN, RandomForest and SVM. Use of PCA and K-means to recognize the importance of features. dplyr random-forest rstudio machine-learning-algorithms ...

Lost circulation events during drilling operations are known for their abruptness and are difficult to control. Traditional diagnostic methods rely on qualitative indicators, such as mud pit volume ...