Efficient algorithms for mining the concise and lossless representation of high utility itemsets
Mining high utility itemsets (HUIs) from databases is an important data mining task, which
refers to the discovery of itemsets with high utilities (eg high profits). However, it may present …
refers to the discovery of itemsets with high utilities (eg high profits). However, it may present …
Efficient algorithms for mining top-k high utility itemsets
High utility itemsets (HUIs) mining is an emerging topic in data mining, which refers to
discovering all itemsets having a utility meeting a user-specified minimum utility threshold …
discovering all itemsets having a utility meeting a user-specified minimum utility threshold …
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 …
Mining high utility itemsets without candidate generation
M Liu, J Qu - Proceedings of the 21st ACM international conference …, 2012 - dl.acm.org
High utility itemsets refer to the sets of items with high utility like profit in a database, and
efficient mining of high utility itemsets plays a crucial role in many real-life applications and …
efficient mining of high utility itemsets plays a crucial role in many real-life applications and …
Mining top-k high utility itemsets
Mining high utility itemsets from databases is an emerging topic in data mining, which refers
to the discovery of itemsets with utilities higher than a user-specified minimum utility …
to the discovery of itemsets with utilities higher than a user-specified minimum utility …
Mining compact high utility itemsets without candidate generation
Though the research topic of high utility itemset (HUI) mining has received extensive
attention in recent years, current algorithms suffer from the crucial problem that too many …
attention in recent years, current algorithms suffer from the crucial problem that too many …
An efficient algorithm for mining the top-k high utility itemsets, using novel threshold raising and pruning strategies
QH Duong, B Liao, P Fournier-Viger, TL Dam - Knowledge-Based Systems, 2016 - Elsevier
Top-k high utility itemset mining is the process of discovering the k itemsets having the
highest utilities in a transactional database. In recent years, several algorithms have been …
highest utilities in a transactional database. In recent years, several algorithms have been …
An efficient method for mining high utility closed itemsets
Mining closed high utility itemsets (CHUIs) involves finding a representative set of HUIs that
is usually smaller than that of HUIs but can generate the full HUIs without loss of information …
is usually smaller than that of HUIs but can generate the full HUIs without loss of information …
Novel concise representations of high utility itemsets using generator patterns
Abstract Mining High Utility Itemsets (HUIs) is an important task with many applications.
However, the set of HUIs can be very large, which makes HUI mining algorithms suffer from …
However, the set of HUIs can be very large, which makes HUI mining algorithms suffer from …
Efficient algorithms for high utility itemset mining without candidate generation
JF Qu, M Liu, P Fournier-Viger - High-utility pattern mining: theory …, 2019 - Springer
High utility itemsets are sets of items having a high utility or profit in a database. Efficiently
discovering high utility itemsets plays a crucial role in real-life applications such as market …
discovering high utility itemsets plays a crucial role in real-life applications such as market …