Blockchain technology is evolving and revolutionizing the IT industry with better security,
efficiency, and resilience. Blockchain technology is being used in many applications majorly …

According to numbers and charts reported recently in the global renewable status and
international energy agency, Renewable energy sources (RES) surpassed the natural gas …

In distributed systems multiple computers interact with each other over a network to perform
data processing operations parallel over a network. Distributed systems can be setup …

Mining interesting patterns from DNA sequences is one of the most challenging tasks in
bioinformatics and computational biology. Maximal contiguous frequent patterns are …

The precious information is embedded in large databases. To extract them has become an
interesting area of Data mining. Clustering, in data mining, is useful for discovering groups …

When dealing with big data,“divide and conquer” is the most commonly used strategy in
practice to partition a big dataset into such smaller subsets that each subset can be handled …

In contemporary data science and analytics, data clustering is a small bucket that divides
computation among various child nodes. The network's capacity, specialized tools, and …

The complexity of the face recognition like deformable pattern recognition lies in the
variation of captured face images in terms of pose, illumination and expression (PIE) …

The primary issue in data analysis is scalability of data mining methods. Various scaling
options have been explored in prior research to overcome this problem. Several scaling …

Recently the growth of data has created a challenge that requires higher computational
power and powerful resources in order to efficiently and effectively mine information from it …