A Performance Metrics Estimation of Spade, Prefix Span, Fast, and Lapin Algorithms

Sequential pattern mining extracts the core of patterns from a wide number of social media platforms, including Google, Yahoo, Amazon, Flipkart, and others. In different applications such as DNA analysis, stock market, intrusion detection, and so on, sequential pattern algorithms are extremely beneficial in extracting the intelligent patterns. The performance mestrics estimation of Prefix Span, SPADE and LAPIN and FAST algorithms is calculated. For real-time applications of DNA analysis, stock market analysis, user behavior prediction, and online business expansion, the best algorithm should be selected. FAST and LAPIN algortihms deliver best performance, when correlated with other algorithms. FAST performance is better at sparse dataset and LAPIN outperforms better at dense dataset.