Results 241 to 250 of about 17,083,974 (282)

High Utility Partial Periodic Pattern Mining

Proceedings of the 4th Multidisciplinary International Social Networks Conference, 2017
In this paper, we study the properties of partial periodic pattern mining and extend the original problem to high-utility partial periodic pattern mining (HUPPP), which considers not only the occurring time order and periodic length of events but also the quantities and individual profits of the events.
Tzung-Pei Hong, Jen-Hao Hsu, Guo-Cheng Lan, Kung-Jiuan Yang, Shyue-Liang Wang, Jerry Chun-Wei Lin   +5 more
openaire   +1 more source

Exploiting High Utility Occupancy Patterns

2017
Most studies have considered the frequency as sole interestingness measure for identifying high quality patterns. However, each object is different in nature, in terms of criteria such as the utility, risk, or interest. Besides, another limitation of frequent patterns is that they generally have a low occupancy, and may not be truly representative ...
Wensheng Gan, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Han-Chieh Chao   +3 more
openaire   +2 more sources

ProUM: High Utility Sequential Pattern Mining

2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), 2019
In recent decade, utility mining has attracted a great attention, but most of the existing studies are developed to deal with itemset-based data. Different from the itemset-based data, the time-ordered sequence data is more commonly seen in real-world situations.
Wensheng Gan, Jerry Chun-Wei Lin, Jiexiong Zhang, Han-Chieh Chao, Hamido Fujita, Philip S. Yu   +5 more
openaire   +2 more sources

A survey of high utility sequential patterns mining methods

Journal of Intelligent & Fuzzy Systems, 2023
In recent years, there has been an increasing demand for high utility sequential pattern (HUSP) mining. Different from high utility itemset mining, the “combinatorial explosion” problem of sequence data makes it more challenging. This survey aims to provide a general, comprehensive, and structured overview of the state-of-the-art methods of HUSP from a
Ruihua Zhang, Meng Han, Feifei He, Fanxing Meng, Chunpeng Li   +4 more
openaire   +1 more source

Mining High Utility Sequential Patterns Using Multiple Minimum Utility

International Journal of Pattern Recognition and Artificial Intelligence, 2018
High utility sequential patterns (HUSP) mining has recently received a lot of attention from researchers. Many algorithms have been proposed to mine HUSP and most of them only use a single minimum utility, which implicitly assumes that all items in the database are of the same importance (such as profit), or other information based on users’ concern ...
Tiantian Xu 0002, Jianliang Xu, Xiangjun Dong 0001   +2 more
openaire   +1 more source

Mining High-Utility Sequential Patterns in Uncertain Databases

2020 IEEE International Conference on Big Data (Big Data), 2020
During our research conducted in this paper, we demonstrate a successful mining progress to mine the sequential high-utility patterns of uncertain databases. A PUL-Chain structure is developed and built in this paper with several pruning methods to decrease the search space of required patterns for mining efficiency improvement.
Jerry Chun-Wei Lin, Gautam Srivastava 0001, Yuanfa Li, Tzung-Pei Hong, Shyue-Liang Wang   +4 more
openaire   +2 more sources

Updating high-utility pattern trees with transaction modification

Multimedia Tools and Applications, 2014
Traditional association-rule mining only concerns the occurrence frequencies of the items in a binary database. In real-world applications, customers may buy several copies of the purchased items. Other factors such as profit, quantity, or price should be concerned to measure the utilities of the purchased items.
Chun-Wei Lin 0001, Binbin Zhang, Wensheng Gan, Bo-Wei Chen, Seungmin Rho, Tzung-Pei Hong   +5 more
openaire   +1 more source

DMHUPS: Discovering Multiple High Utility Patterns Simultaneously

Knowledge and Information Systems, 2018
High utility pattern mining in transaction databases has emerged to overcome the limitation of frequent pattern mining where only frequency is taken as the measure of importance without considering the actual importance of items. Among existing state-of-the-art algorithms, some are efficient on sparse datasets and some are efficient on dense datasets ...
Bijay Prasad Jaysawal, Jen-Wei Huang
openaire   +1 more source

Mining high utility partial periodic pattern by GPA

2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2017
Different from full periodic patterns, partial periodic patterns could ignore the occurrence of some events in time positions. In this paper, we have presented a gradually pruning algorithm (GPA) for reducing the number of candidate patterns in the mining process.
Tzung-Pei Hong, Jen-Hao Hsu, Kung-Jiuan Yang, Guo-Cheng Lan, Jerry Chun-Wei Lin, Shyue-Liang Wang   +5 more
openaire   +2 more sources

Targeted Mining of Rare High-Utility Patterns

2022 IEEE International Conference on Big Data (Big Data), 2022
Peifeng Zhang, Jiahui Chen 0002, Shicheng Wan, Wensheng Gan   +3 more
openaire   +2 more sources