Value Chain has been considered as a key model for managing efficiently value creation
processes within organizations. However, with the digitization of the end-to-end processes …

Artificial intelligence (AI) and machine learning, in particular, have gained significant interest
in many fields, including pharmaceutical sciences. The enormous growth of data from …

Clustering is one of the most significant applications in the big data field. However, using the
clustering technique with big data requires an ample amount of processing power and …

Density peaks clustering (DPC) model focuses on searching density peaks and clustering
data with arbitrary shapes for machine learning. However, it is difficult for DPC to select a cut …

The technical advancements in big data have become popular and most desirable among
users for storing, processing, and handling huge data sets. However, clustering using these …

New worries and difficulties in data management and analysis have arisen in response to
the fast rise of big data in the IT sector. Common difficulties include those of scale, velocity …

With the advancement of intelligent campus data acquisition technology, student behavioral
data are growing in size, variety, and real-time throughput, posing challenges to the storage …

In the field of Smart City applications, the analysis of urban data to detect city hotspots, ie,
regions where urban events (such as pollution peaks, virus infections, traffic spikes, and …

It is challenging for complex urban transportation networks to recommend taxi waiting spots
for mobile passengers because the traditional centralized mining platform cannot address …

In the pharmaceutical and consumer health industries, artificial intelligence and machine
learning played an important role. These technologies are critical for the identification of …