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Iterative sampling based frequent itemset mining for big data
Xian Wu
, Wei Fan
,
Jing Peng
, Kun Zhang
, Yong Yu
Computer Science
Research output
:
Contribution to journal
›
Article
›
peer-review
26
Scopus citations
Overview
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Dive into the research topics of 'Iterative sampling based frequent itemset mining for big data'. Together they form a unique fingerprint.
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Keyphrases
Big Data
100%
Sampling Methods
100%
Frequent Pattern Mining
100%
Iterative Sampling
100%
Frequent Itemsets
75%
MapReduce
25%
Time Complexity
25%
Explosives
25%
Exhaustive Search
25%
Molecular Structure
25%
Mining Method
25%
Frequent Patterns
25%
Parallelizing
25%
Frequent Sequence
25%
Common Subgraph
25%
Item Sequence
25%
Big Data Era
25%
Sequences of Sets
25%
Combinatorial Explosion
25%
Set Structure
25%
Computer Science
Big Data
100%
Frequent Itemsets
100%
frequent pattern mining
50%
Map-Reduce
25%
Time Complexity
25%
Subgraphs
25%
Exhaustive Search
25%
Data Structure
25%
Frequent Patterns
25%
Space Complexity
25%
Intermediate Data
25%
frequent item set
25%
Sufficient Number
25%