Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Web usage mining with evolutionary extraction of temporal fuzzy association rules
In Web usage mining, fuzzy association rules that have a temporal property can provide
useful knowledge about when associations occur. However, there is a problem with …
useful knowledge about when associations occur. However, there is a problem with …
Finding suitable membership functions for fuzzy temporal mining problems using fuzzy temporal bees method
Data are usually stored in databases with temporal components and quantitative values. In
temporal databases, each data item has its own exhibition periods. In other word, early items …
temporal databases, each data item has its own exhibition periods. In other word, early items …
Finding active membership functions for genetic-fuzzy data mining
Since transactions may contain quantitative values, many approaches have been proposed
to derive membership functions for mining fuzzy association rules using genetic algorithms …
to derive membership functions for mining fuzzy association rules using genetic algorithms …
Access patterns mining from massive spatio-temporal data in a smart city
L **ong, X Liu, D Guo, Z Hu - Cluster Computing, 2019 - Springer
Facing with massive spatio-temporal data, the traditional pattern mining methods fail to
directly reflect the spatio-temporal correlation and transition rules of user access in a smart …
directly reflect the spatio-temporal correlation and transition rules of user access in a smart …
Mining the change of customer behavior in dynamic markets
Identification of changes in customer behavior is a major challenge that must be tackled in
order to survive in a rapidly changing business environment. For example, because …
order to survive in a rapidly changing business environment. For example, because …
MOGA-based fuzzy data mining with taxonomy
Transactions in real-world applications usually consist of quantitative values. Some fuzzy
data mining approaches have thus been proposed for deriving linguistic rules from such …
data mining approaches have thus been proposed for deriving linguistic rules from such …
A survey of fuzzy data mining techniques
Data mining is very popular recently due to lots of analysis applications of big data. A well-
known algorithm for mining association rules from transactions is the Apriori algorithm …
known algorithm for mining association rules from transactions is the Apriori algorithm …
Fuzzy temporal association rules: combining temporal and quantitative data to increase rule expressiveness
Data mining for association rules aims to discover interesting relationships among sets of
items in a database. Very often these databases include some kind of temporal information …
items in a database. Very often these databases include some kind of temporal information …
[PDF][PDF] Research Article An Innovative Potential on Rule Optimization using Fuzzy Artificial Bee Colony
This study adapted an improved algorithm based on Artifical Bee Colony Optimization. It is
not possible to justify that all the rules generated by fuzzy based apriori algorithm produce …
not possible to justify that all the rules generated by fuzzy based apriori algorithm produce …
Web usage mining using fuzzy association rule
Identifying the association of web pages is important to enhance the user experience on
web navigation by providing custom-defined services. Based on the behavior of user on the …
web navigation by providing custom-defined services. Based on the behavior of user on the …