A Review on Temporal Data Mining Jaiswal Rashi*, Singh Brijendra** Department of Computer Science, University of Lucknow, Lucknow (U.P.), India *E-mail: rashijaiswal.rj95@gmail.com
**drbri_singh@hotmail.com
Online Published on 12 December, 2023. Abstract Temporal data mining is much more complex because additional challenges such as data handling, modelling, etc. exist during the computation process of temporal data. This paper categorizes Temporal Data Mining into three leveled structures as data, model, and system. We explore the temporal data properties at data level and various traditional and advanced models at the model level. We examine them by experiments to analyze the appropriate method for different problem handling. It also discusses the real-world applications of temporal data mining at the system level in different domains. This review also provides the vision of the future research direction related to data, model, and system-level by shedding some light on challenges in the complete data mining process. Top Keywords Data Mining Techniques, Temporal Data, Learning Models, Data, Model, System, Information Retrivel. Top |