BOOK-CHAPTER

Using Bloom Filters for Mining Top-k Frequent Itemsets in Data Streams

Young-Hee KimKyung Soo ChoJae Yeol YoonIee Joon KimYoung‐Gab Kim

Year: 2011 Communications in computer and information science Pages: 209-216   Publisher: Springer Science+Business Media
Keywords:
Bloom filter Computer science Data stream mining Data stream Computation Filter (signal processing) Data structure Data mining Workspace Parallel computing Theoretical computer science Algorithm Artificial intelligence Programming language

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Cited By
0.74
FWCI (Field Weighted Citation Impact)
13
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0.72
Citation Normalized Percentile
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Citation History

Topics

Data Mining Algorithms and Applications
Physical Sciences →  Computer Science →  Information Systems
Data Management and Algorithms
Physical Sciences →  Computer Science →  Signal Processing
Rough Sets and Fuzzy Logic
Physical Sciences →  Computer Science →  Computational Theory and Mathematics

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