Discovery of Frequent Patterns of Episodes Within a Time Window for Alarm Management Systems
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2965647
Abstract: The sequential pattern mining field is expanding through numerous researches and has a large number of applications such as language processing, alarms management and event management on a broader scale. Its use began with processing… read more here.
Keywords: frequent patterns; management; within time; discovery frequent ... See more keywords
Apriori Versions Based on MapReduce for Mining Frequent Patterns on Big Data
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2017.2751081
Abstract: Pattern mining is one of the most important tasks to extract meaningful and useful information from raw data. This task aims to extract item-sets that represent any type of homogeneity and regularity in data. Although… read more here.
Keywords: big data; pattern mining; based mapreduce; frequent patterns ... See more keywords
Addressing the Cold-Start Problem in Recommender Systems Based on Frequent Patterns
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DOI: 10.3390/a16040182
Abstract: Recommender systems aim to forecast users’ rank, interests, and preferences in specific products and recommend them to a user for purchase. Collaborative filtering is the most popular approach, where the user’s past purchase behavior consists… read more here.
Keywords: cold start; methodology; frequent patterns; recommender systems ... See more keywords