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知网期刊论文(6094)
在“
Elsevier电子期刊
”中,
命中:
736
条,耗时:0.0469639 秒
在所有数据库中总计命中:
15,568
条
1.
Construction and evaluation of structured
association
map for visual exploration of
association
rule
s
作者:
Jun Woo Kim
kjunwoo@dau.ac.kr
关键词:
Visual exploration
;
Data
mining
;
Association
rule
mining
;
Hierarchical clustering
;
Structured
association
map
;
Health examination
刊名:Expert Systems with Applications
出版年:2017
2.
Information fusion from multiple databases using meta-
association
rule
s
作者:
M.D. Ruiz
a
;
b
;
mdruiz@decsai.ugr.es
;
J. Gó
;
mez-Romero
a
;
b
;
jgomez@decsai.ugr.es
;
M. Molina-Solana
a
;
b
;
miguems@decsai.ugr.es
;
M. Ros
a
;
b
;
marosiz@decsai.ugr.es
;
M.J. Martin-Bautista
a
;
b
;
mbautis@decsai.ugr.es
关键词:
Association
rule
s
;
Meta-
association
rule
s
;
Fuzzy
association
rule
s
;
Information fusion
;
High order
mining
;
Multiple databases
刊名:International Journal of Approximate Reasoning
出版年:2017
3.
Improving the accuracy of collaborative filtering recommendations using clustering and
association
rule
s
mining
on implicit data
作者:
Maryam Khanian Najafabadi
;
knmaryam2@live.utm.my
;
maryam64266@yahoo.com
;
Mohd Naz'ri Mahrin
;
Suriayati Chuprat
;
Haslina Md Sarkan
关键词:
Recommender systems
;
Collaborative filtering
;
Sparsity problem
;
Association
rule
s
mining
;
Clustering
;
Implicit feedback
刊名:Computers in Human Behavior
出版年:2017
4.
Data partitioning and
association
mining
for identifying VRF energy consumption patterns under various part loads and refrigerant charge conditions
作者:
Guannan Li
a
;
leegna@163.com
;
Yunpeng Hu
b
;
d
;
Huanxin Chen
a
;
chenhuanxin@tsinghua.org.cn
;
Haorong Li
c
;
Min Hu
a
;
Yabin Guo
a
;
Jiangyan Liu
a
;
Shaobo Sun
a
;
Miao Sun
a
关键词:
Association
rule
s
mining
;
Clustering analysis
;
Energy consumption patterns
;
Part load character
;
Refrigerant charge fault
;
Variable refrigerant flow air conditioning system
刊名:Applied Energy
出版年:2017
5.
Mining
of high average-utility itemsets using novel list structure and pruning strategy
作者:
Unil Yun
;
yunei@sejong.ac.kr
Author Vitae
;
Donggyu Kim
donggyukim@sju.ac.kr
Author Vitae
关键词:
Data
mining
;
Association
rule
mining
;
High average-utility itemset
mining
刊名:Future Generation Computer Systems
出版年:2017
6.
Frequent itemset
mining
using cellular learning automata
作者:
Mohammad Karim Sohrabi
;
Amir_sohraby@aut.ac.ir
;
Reza Roshani
r.roshany@gmail.com
关键词:
Frequent itemset
mining
;
Cellular automata
;
Data
mining
;
Association
rule
s
;
Parallel frequent itemset
mining
刊名:Computers in Human Behavior
出版年:2017
7.
Food safety pre-warning system based on data
mining
for a sustainable food supply chain
作者:
Jing Wang
;
wangjingjob2010@126.com
;
Huili Yue
yuehuili55@126.com
关键词:
Food safety
;
Food supply chain
;
Pre-warning system
;
Association
rule
刊名:Food Control
出版年:2017
8.
Discovery of the D-basis in binary tables based on hypergraph dualization
作者:
K. Adaricheva
a
;
b
;
kira.adaricheva@nu.edu.kz
;
adariche@yu.edu
;
J.B. Nation
c
;
jb@math.hawaii.edu
关键词:
Binary table
;
Galois lattice
;
Implicational basis
;
Hypergraph dualization
;
Association
rule
s
刊名:Theoretical Computer Science
出版年:2017
9.
An efficient dynamic superset bit-vector approach for
mining
frequent closed itemsets and their lattice structure
作者:
Tahrima Hashem
a
;
tahrimacsedu14@gmail.com" class="auth_mail" title="E-mail the corresponding author
;
Md. Rezaul Karim
a
;
rkarim@cse.univdhaka.edu" class="auth_mail" title="E-mail the corresponding author
;
Md. Samiullah
a
;
samiullah@cse.univdhaka.edu" class="auth_mail" title="E-mail the corresponding author
;
Chowdhury Farhan Ahmed
;
a
;
b
;
cfahmed@unistra.fr" class="auth_mail" title="E-mail the corresponding author
;
farhan@cse.univdhaka.edu" class="auth_mail" title="E-mail the corresponding author
关键词:
Data
mining
;
Association
rule
s
;
Frequent closed itemset
;
Frequent closed itemset lattice
刊名:Expert Systems with Applications
出版年:2017
10.
Prediction model for peninsular Indian summer monsoon rainfall using data
mining
and statistical approaches
作者:
H. Vathsala
a
;
vathsala.h@gmail.com" class="auth_mail" title="E-mail the corresponding author
;
Shashidhar G. Koolagudi
b
关键词:
Closed itemsets
;
Association
rule
s
;
Cluster membership
;
Dense datasets
;
Peninsular Indian summer monsoon rainfall
;
Prediction
刊名:Computers & Geosciences
出版年:2017
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