Abstract K-Nearest Neighbor (KNN) is a method applied in classifying objects based on
learning data that is closest to the object based on comparison between previous and …

Increasing progress in numerous research fields and information technologies, led to an
increase in the publication of research papers. Therefore, researchers take a lot of time to …

Recommender system is a computer-based intelligent technique which facilitates the
customers to fulfill their purchase requirements. In addition to this, it also helps retailers to …

Increased advancement in a variety of study subjects and information technologies, has
increased the number of published research articles. However, researchers are facing …

We analyze an ensemble of organophosphorus compounds to form an unbiased
characterization of the information encoded in their X-ray absorption near-edge structure …

Data clustering is a data mining technique that discovers hidden patterns by creating groups
(clusters) of objects. Each object in every cluster exhibits sufficient similarity to its …

E-commerce has become a crucial platform consists a large database of products with
billions number of retailers and consumers. However, these products are placed into …

Currently, cloud service providers have used a variety of operational mechanisms to support
the company's business processes. Therefore, the services are stored on the company's …

Item categorization is a machine learning task which aims at classifying e-commerce items,
typically represented by textual attributes, to their most suitable category from a predefined …

High-quality rainfall data are essential in many water management problems, including
stormwater management, water resources management, and more. Due to the high spatial …