Integrating Data Mining Techniques with IoT for Enhanced Decision-Making in Web of Science

Integrating IoT data mining techniques has emerged as a promising approach for enhancing decision-making processes in the Web of Science. However, the existing abstract lacks a mention of the challenges and the necessity of conducting research in this area. In this revised abstract, we address these gaps and provide a comprehensive overview of the integration of data mining techniques with IoT in the context of the Web of Science. We emphasize the importance of overcoming challenges and optimizing data-driven processes through the extraction of valuable insights. By highlighting the need for research in this domain, we aim to unlock the full potential of IoT-enabled decision support systems.

Keywords:

Integrating , Data Mining Techniques , IoT , Enhanced Decision-Making , Web of Science , IoT Data , Insights , Optimization , Data-Driven Processes