Frequent Sequential Patterns (FSP) from Web Usage Data (WUD) are essential for analyzing and comprehending user behavior to raise the caliber of services provided by the World Wide Web (WWW). One method for decreasing Web latency and hence improving web retrieval is web personalization. Here, PrefixSpan, SPADE, and WAP-Tree are just a few of the FSP mining techniques we look at for the mining of FSPs from the WUD of an academic website ranging from weekly to quarterly. The number of FSPs each of these FSP algorithms produces with a specific minimal support has been used to evaluate each algorithm's performance. The PrefixSpan FSP mining technique outperforms the SPADE and WAP-Tree algorithms, according to experimental results.