Output details
11 - Computer Science and Informatics
Liverpool Hope University
A sliding windows based dual support framework for discovering emerging trends from temporal data
<15> A novel Dual Support Apriori for Temporal data (DSAT) algorithm is developed for discovering Jumping Emerging Patterns (JEPs) from time series data using a sliding window technique.
This is particularly effective when performing trend analysis on data that have elements that vary over time. Our framework is different from the previous work on JEP in that we do not rely on item sets borders with a constrained search space.
This work contributed toward successful PhD work performed by S. Khan (jointly supervised by Dr Reid and Dr Tawfik at Liverpool Hope University along with Dr Coenen at Liverpool University).