Competent frequent pattern mining techniques are critical for finding relationship rules. Here, examination of subject of finding association rules for objects into an enormous DB of customer purchase entries is discussed. Ruling huge patterns following DB entry set had guided lots of techniques. Like Apriori, DHP, ECLAT, FP-growth, etc. At this point, the authors projected new technique known as Frequent Pattern Mining with Serialization and De-serialization (FPMSD), that's proficient for finding frequent patterns. FPMSD utilizes DLI (Down-Level-Index) i.e. patterns which co-found with delegate item can be recognized rapidly and straightly using effortless and quickest method.