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A survey of itemset mining
Itemset mining is an important subfield of data mining, which consists of discovering
interesting and useful patterns in transaction databases. The traditional task of frequent …
interesting and useful patterns in transaction databases. The traditional task of frequent …
Efficient tree structures for high utility pattern mining in incremental databases
Recently, high utility pattern (HUP) mining is one of the most important research issues in
data mining due to its ability to consider the nonbinary frequency values of items in …
data mining due to its ability to consider the nonbinary frequency values of items in …
Develo** recommender systems with the consideration of product profitability for sellers
In electronic commerce web sites, recommender systems are popularly being employed to
help customers in selecting suitable products to meet their personal needs. These systems …
help customers in selecting suitable products to meet their personal needs. These systems …
OWSP-Miner: Self-adaptive one-off weak-gap strong pattern mining
Gap constraint sequential pattern mining (SPM), as a kind of repetitive SPM, can avoid
mining too many useless patterns. However, this method is difficult for users to set a suitable …
mining too many useless patterns. However, this method is difficult for users to set a suitable …
Mining weighted frequent sequences in uncertain databases
Frequent pattern mining has become very useful and interesting to researchers due to its
high applicability. Different real-life databases (eg, sensor network, medical diagnosis data) …
high applicability. Different real-life databases (eg, sensor network, medical diagnosis data) …
A new framework for mining weighted periodic patterns in time series databases
Mining periodic patterns in time series databases is a daunting research task that plays a
significant role at decision making in real life applications. There are many algorithms for …
significant role at decision making in real life applications. There are many algorithms for …
Efficient vertical mining of high average-utility itemsets based on novel upper-bounds
Mining High Average-Utility Itemsets (HAUIs) in a quantitative database is an extension of
the traditional problem of frequent itemset mining, having several practical applications …
the traditional problem of frequent itemset mining, having several practical applications …
An efficient approach for mining association rules from high utility itemsets
Traditional association rule mining based on the support–confidence framework provides
the objective measure of the rules that are of interest to users. However, it does not reflect …
the objective measure of the rules that are of interest to users. However, it does not reflect …
Pattern recommendation in task-oriented applications: A multi-objective perspective [application notes]
Task-oriented pattern mining is to find the most popular and complete pattern for task-
oriented applications such as goods match recommendation and print area …
oriented applications such as goods match recommendation and print area …
[HTML][HTML] A comprehensive survey on affinity analysis, bibliomining, and technology mining: Past, present, and future research
Recent advancements in high-speed communications and high-capacity computing systems
have contributed to major growth in the data volume of databases. Data mining is a crucial …
have contributed to major growth in the data volume of databases. Data mining is a crucial …