Results 251 to 260 of about 306,546 (292)

Synthesization of High-Utility Patterns in Parallel Computing

2019 IEEE/ACM 23rd International Symposium on Distributed Simulation and Real Time Applications (DS-RT), 2019
High utility pattern mining (HUPM) has become a key issue in knowledge discovery since it provides retailers and managers with useful information for making decisions efficiently. However, previous studies most focused on mining the high-utility patterns (HUPs) from a single database.
Jerry Chun-Wei Lin, Yuanfa Li, Matin Pirouz, Linlin Tang, Miroslav Voznák, Lukas Sevcik   +5 more
openaire   +1 more source

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
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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
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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
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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 of High-Utility Patterns in Big IoT Databases

2021
In general data mining, HUIM also known as high-utility itemset mining is an offshoot of frequent item set mining (FIM). HUIM is known to give more emphasis to many factors which can give HUIM a distinct edge over FIM. PHIUM, or Potential high-utility item set mining has been created to give intrinsic patterns in databases that tend to be uncertain ...
Jimmy Ming-Tai Wu, Gautam Srivastava 0001, Jerry Chun-Wei Lin, Youcef Djenouri, Min Wei, Dawid Polap   +5 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   +1 more source

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

A Novel Approach for Hiding High Utility Sequential Patterns

Proceedings of the Sixth International Symposium on Information and Communication Technology, 2015
Privacy Preserving Data Mining (PPDM) has become an important research topic in recent years. Hiding high utility sequential patterns is very necessary in business, health and security applications, etc. The goal of hiding is to find the way to hide all high utility sequential patterns so that the adversaries cannot mine them from the sanitized ...
Tai Dinh, Minh Nguyen Quang, Bac Le
openaire   +1 more source