The growing application of data-driven analytics in materials science has led to the rise of
materials informatics. Within the arena of data analytics, deep learning has emerged as a …

Many algorithms have emerged to address the discovery of quantitative association rules
from datasets in the last years. However, this task is becoming a challenge because the …

The growing application of data-driven analytics in materials science has led to the
emergence and popularity of the relatively new field of materials informatics. Of the many …

Apriori algorithm has fundamentally identified algorithm in association rule mining. The
principle key concept of this algorithm is to discover interesting recurrent patterns between …

Association Rule Mining is a data mining designed to discover the real connections of data
items in transaction data build on associativity. The technique utilizes the Apriori Algorithm to …