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兰州大学 [5]
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会议论文 [5]
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2014 [1]
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computer s... [2]
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专题:兰州大学
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Combining Frequent Itemsets and Statistical Features for Texture Classification in Relative Phase Domain
会议论文
11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), Xiamen, PEOPLES R CHINA, AUG 19-21, 2014
作者:
Liu, L
;
Chen, C
;
Yang, LF
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2017/01/18
texture classification
relative phase
DTCWT
PDTDFB
frequent 2-itemset
statistical characteristic
Combining Frequent 2-itemsets and Statistical Features for Texture Classification in Wavelet Domain
会议论文
2nd International Conference on Advances in Computing, Communications and Informatics (ICACCI), Mysore, INDIA, AUG 22-25, 2013
作者:
Liu, L
;
Wang, HJ
;
Wang, MJ
;
Zhang, C
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2017/01/18
Texture classification
frequent 2-itemset
discrete wavelet transform
feature extraction
Using output optimization strategy to improve the performance of F-Miner
会议论文
2010 International Conference on Computer Application and System Modeling, ICCASM 2010, Shanxi, Taiyuan, China, October 22, 2010 - October 24, 2010
作者:
Li, Longjie
;
Chen, Xiaoyun
;
Bai, Shenshen
;
Chen, Pengfei
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  |  
浏览/下载:1/0
  |  
提交时间:2017/01/18
Computer applications
Algorithms
Association rules
Data mining
Miners
Optimization
Efficient algorithm
F-Miner
Frequent itemset
Frequent Itemsets
Mining algorithms
Optimization strategy
Output optimization strategies
Time consumption
HPFP-Miner: A novel parallel frequent itemset mining algorithm
会议论文
5th International Conference on Natural Computation, ICNC 2009, Tianjian, China, August 14, 2009 - August 16, 2009
作者:
Chen, Xiaoyun
;
He, Yanshan
;
Chen, Pengfei
;
Miao, Shengfa
;
Song, Weiguo
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  |  
浏览/下载:3/0
  |  
提交时间:2017/01/18
Computational efficiency
Algorithms
Data mining
Miners
Communication overheads
Data mining tasks
Database size
Fp-growth
Frequent itemset
Frequent itemset mining
Mining tasks
Multiple pass
Multiple processors
Mining frequent sequences using itemset-based extension
会议论文
International Multiconference of Engineers and Computer Scientists, Hong Kong, PEOPLES R CHINA, MAR 19-21, 2008
作者:
Ma, ZM
;
Xu, YS
;
Dillon, TS
;
Chen, XY
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  |  
浏览/下载:2/0
  |  
提交时间:2017/01/18
frequent sequence mining
data mining algorithms
frequent pattern
sequence database
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