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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 …
Efficient high utility itemset mining using buffered utility-lists
Discovering high utility itemsets in transaction databases is a key task for studying the
behavior of customers. It consists of finding groups of items bought together that yield a high …
behavior of customers. It consists of finding groups of items bought together that yield a high …
[کتاب][B] Preference-based spatial co-location pattern mining
L Wang, Y Fang, L Zhou - 2022 - Springer
The development of information technology has enabled many different technologies to
collect large amounts of spatial data every day. It is of very great significance to discover …
collect large amounts of spatial data every day. It is of very great significance to discover …
Generalized maximal utility for mining high average-utility itemsets
Mining high average-utility itemsets (HAUIs) is a promising research topic in data mining
because, in contrast to high utility itemsets, they are not biased toward long itemsets …
because, in contrast to high utility itemsets, they are not biased toward long itemsets …
CLS-Miner: efficient and effective closed high-utility itemset mining
High-utility itemset mining (HUIM) is a popular data mining task with applications in
numerous domains. However, traditional HUIM algorithms often produce a very large set of …
numerous domains. However, traditional HUIM algorithms often produce a very large set of …
Targeted mining of top-k high utility itemsets
Finding high-importance patterns in data is an emerging data mining task known as High-
utility itemset mining (HUIM). Given a minimum utility threshold, a HUIM algorithm extracts all …
utility itemset mining (HUIM). Given a minimum utility threshold, a HUIM algorithm extracts all …
High utility itemsets mining from transactional databases: a survey
Mining high utility itemsets are the basic task in the area of frequent itemset mining (FIM) that
has various applications in diverse domains, including market basket analysis, web mining …
has various applications in diverse domains, including market basket analysis, web mining …
Mining sequential patterns with flexible constraints from MOOC data
Online learning is playing an increasingly important role in education. Massive open online
course (MOOC) platforms are among the most important tools in online learning, and record …
course (MOOC) platforms are among the most important tools in online learning, and record …
Heuristically mining the top-k high-utility itemsets with cross-entropy optimization
Mining high-utility itemsets (HUIs) is one of the most important research topics in data mining
because HUIs consider non-binary frequency values of items in transactions and different …
because HUIs consider non-binary frequency values of items in transactions and different …
Discovering high utility itemsets using set-based particle swarm optimization
Mining high utility itemsets (HUIs) is a hot research topic in data mining. Algorithms based
on evolutionary computation are attracting increasing attention because they have the …
on evolutionary computation are attracting increasing attention because they have the …