Frequent itemset mining discovers implicit, previously unknown and potentially useful knowledge—in the form of frequent itemsets—from data. For example, discovery of frequently purchased merchandise products reveals customer purchase patterns, which help store managers about their business strategies and promotional tactics. These, in turn, help increase profits of the stores. As another example, discovery of… Continue reading FIMaaS: Scalable Frequent Itemset Mining-as-a-Service on Cloud for Non-Expert Miners
BigDAS 2015