Big IoT data is inherently distributed, high-dimensional, irregular, and sparse in nature. Fog
computing model in its original form is by no means the optimal solution for mining big IoT …

Data mining techniques have recently drawn considerable attention from the research
community for their ability to predict flash flood phenomena. These techniques can bring …

Sparseness is the distinctive aspect of big data generated by numerous applications at
present. Furthermore, several similar records exist in real-world sparse datasets. Based on …

Sparseness is often witnessed in big data emanating from a variety of sources, including IoT,
pervasive computing, and behavioral data. Frequent itemset mining is the first and foremost …

Flash floods are one of the most severe natural disasters, which pose a serious threat to
infrastructure and human life, especially those in urban areas. As Selangor is one of …

Modern algorithms for mining frequent itemsets face noteworthy deterioration of
performance when minimum support tends to decrease, especially for sparse datasets. Long …