Fast Frequent Item Mining from Big Data using Map Reduce and Bit Vectors
نویسندگان
چکیده
منابع مشابه
Mining Frequent Item Sets Using Map Reduce Paradigm
In Text categorization techniques like Text classification or clustering, finding frequent item sets is an acquainted method in the current research trends. Even though finding frequent item sets using Apriori algorithm is a widespread method, later DHP, partitioning, sampling, DIC, Eclat, FP-growth, H-mine algorithms were shown better performance than Apriori in standalone systems. In real sce...
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ژورنال
عنوان ژورنال: Turkish Journal of Computer and Mathematics Education (TURCOMAT)
سال: 2021
ISSN: 1309-4653
DOI: 10.17762/turcomat.v12i2.1525