JOURNAL ARTICLE

Mining Top-K Frequent Closed Itemset in Data Streams

Jun LiHou Xiu-hongSen Gong

Year: 2011 Journal:   Energy Procedia Vol: 11 Pages: 594-601   Publisher: Elsevier BV
Keywords:
STREAMS Data mining Data stream mining Computer science Computer network

Metrics

0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
8
Refs
0.64
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Data Mining Algorithms and Applications
Physical Sciences →  Computer Science →  Information Systems
Data Stream Mining Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence
Time Series Analysis and Forecasting
Physical Sciences →  Computer Science →  Signal Processing

Related Documents

BOOK-CHAPTER

The Top-k Frequent Closed Itemset Mining Using Top-k SAT Problem

Saïd JabbourLakhdar SaïsYakoub Salhi

Lecture notes in computer science Year: 2013 Pages: 403-418
JOURNAL ARTICLE

Interactive mining of top-K frequent closed itemsets from data streams

Hua-Fu Li

Journal:   Expert Systems with Applications Year: 2009 Vol: 36 (7)Pages: 10779-10788
BOOK-CHAPTER

Frequent Itemset Mining over Data Streams

Gurmeet Singh Manku

Data-centric systems and applications Year: 2016 Pages: 209-219
© 2026 ScienceGate Book Chapters — All rights reserved.