Results 251 to 260 of about 1,227,725 (294)

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, Jianliang Xu, Xiangjun Dong
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IDHUP: Incremental Discovery of High Utility Pattern

網際網路技術學刊, 2023
<p>As a sub-problem of pattern discovery, utility-oriented pattern mining has recently emerged as a focus of researchers&rsquo; attention and offers broad application prospects. Considering the dynamic characteristics of the input databases, incremental utility mining methods have been proposed, aiming to discover ...
Lele Yu Lele Yu, Wensheng Gan Lele Yu, Zhixiong Chen Wensheng Gan, Yining Liu Zhixiong Chen   +3 more
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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
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Mining Discriminative High Utility Patterns

2016
Recently, many approaches for high utility pattern mining (HUPM) have been proposed, but most of them aim at mining high-utility patterns (HUPs) instead of frequent ones. The major drawback is that any combination of a low-utility item with a very high utility pattern is regarded as a HUP, even if this combination is infrequent and contains items that ...
Jerry Chun-Wei Lin, Wensheng Gan, Philippe Fournier-Viger, Tzung-Pei Hong   +3 more
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On Incremental High Utility Sequential Pattern Mining

ACM Transactions on Intelligent Systems and Technology, 2018
High utility sequential pattern (HUSP) mining is an emerging topic in pattern mining, and only a few algorithms have been proposed to address it. In practice, most sequence databases usually grow over time, and it is inefficient for existing algorithms to mine HUSPs from scratch when databases grow with a small portion of updates.
Jun-Zhe Wang, Jiun-Long Huang
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High-Utility Pattern Mining in Hadoop Environments

2020 IEEE International Conference on Big Data (Big Data), 2020
In this article, we present an Efficient High Utility Pattern Mining framework to mine high-utility patterns with a reasonable pruning strategy to speed up the mining performance. Concurrently, for solving the problem of excessive data volume in the current era, we applied the developed framework to the MapReduce architecture used for improving the ...
Jimmy Ming-Tai Wu, Min Wei, Gautam Srivastava, Jerry Chun-Wei Lin   +3 more
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Discovering highly profitable travel patterns by high-utility pattern mining

Tourism Management, 2020
Abstract Travel diaries have been widely used by tourism researchers to gain insights into the travel behaviors of travelers because of their rich information. However, their potentials have not been fully utilized due to the unawareness of the utility information hidden within.
Huy Quan Vu, Gang Li, Rob Law
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Mining High Utility Sequential Patterns Using Maximal Remaining Utility

2018
Mining high utility sequential pattern is an interesting problem in data mining. In this paper, we propose a new algorithm called high utility sequential pattern mining based on maximal remaining utility (HUSP-MRU). In HUSP-MRU, the maximal remaining utility (MRU) is defined as tighter upper bound of candidates.
Wei Song, Keke Rong
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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
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Mining high utility patterns in incremental databases

Proceedings of the 3rd International Conference on Ubiquitous Information Management and Communication, 2009
Frequent pattern mining techniques treat all items in the database equally by taking into consideration only the presence of an item within a transaction. However, the customer may purchase more than one of the same item, and the unit price may vary among items. High utility pattern mining approaches have been proposed to overcome this problem.
Chowdhury Farhan Ahmed, Syed Khairuzzaman Tanbeer, Byeong-Soo Jeong, Young-Koo Lee   +3 more
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