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A survey of utility-oriented pattern mining
The main purpose of data mining and analytics is to find novel, potentially useful patterns
that can be utilized in real-world applications to derive beneficial knowledge. For identifying …
that can be utilized in real-world applications to derive beneficial knowledge. For identifying …
Frequent itemset mining: A 25 years review
Frequent itemset mining (FIM) is an essential task within data analysis since it is responsible
for extracting frequently occurring events, patterns, or items in data. Insights from such …
for extracting frequently occurring events, patterns, or items in data. Insights from such …
A survey of parallel sequential pattern mining
With the growing popularity of shared resources, large volumes of complex data of different
types are collected automatically. Traditional data mining algorithms generally have …
types are collected automatically. Traditional data mining algorithms generally have …
Discovering high utility-occupancy patterns from uncertain data
It is widely known that there is a lot of useful information hidden in big data, leading to a new
saying that “data is money.” Thus, it is prevalent for individuals to mine crucial information for …
saying that “data is money.” Thus, it is prevalent for individuals to mine crucial information for …
HUOPM: High-utility occupancy pattern mining
Mining useful patterns from varied types of databases is an important research topic, which
has many reallife applications. Most studies have considered the frequency as sole …
has many reallife applications. Most studies have considered the frequency as sole …
Efficient mining of top-k high utility itemsets through genetic algorithms
Mining high utility itemsets is an emerging and very active research area in data mining. The
goal is to mine all itemsets with a utility value, in terms of importance to the user, no less than …
goal is to mine all itemsets with a utility value, in terms of importance to the user, no less than …
Fast utility mining on sequence data
W Gan, JCW Lin, J Zhang… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
High-utility sequential pattern (HUSP) mining is an emerging topic in the field of knowledge
discovery in databases. It consists of discovering subsequences that have a high utility …
discovery in databases. It consists of discovering subsequences that have a high utility …
High-utility itemset mining with effective pruning strategies
High-utility itemset mining is a popular data mining problem that considers utility factors,
such as quantity and unit profit of items besides frequency measure from the transactional …
such as quantity and unit profit of items besides frequency measure from the transactional …
[HTML][HTML] Reliable customer analysis using federated learning and exploring deep-attention edge intelligence
Abstract The Internet of Things (IoT) and smart cities are flourishing with distributed systems
in mobile wireless networks. As a result, an enormous amount of data are being generated …
in mobile wireless networks. As a result, an enormous amount of data are being generated …
ProUM: Projection-based utility mining on sequence data
Utility is an important concept in Economics. A variety of applications consider utility in real-
life situations, which has lead to the emergence of utility-oriented mining (also called utility …
life situations, which has lead to the emergence of utility-oriented mining (also called utility …