Search Results for author: Wensheng Gan

Found 17 papers, 0 papers with code

Totally-ordered Sequential Rules for Utility Maximization

no code implementations27 Sep 2022 Chunkai Zhang, Maohua Lyu, Wensheng Gan, Philip S. Yu

TotalSR creates a utility table that can efficiently calculate antecedent support and a utility prefix sum list that can compute the remaining utility in O(1) time for a sequence.

Sequential Pattern Mining

Contrast Pattern Mining: A Survey

no code implementations27 Sep 2022 Yao Chen, Wensheng Gan, Yongdong Wu, Philip S. Yu

Contrast pattern mining (CPM) is an important and popular subfield of data mining.

A Generic Algorithm for Top-K On-Shelf Utility Mining

no code implementations27 Aug 2022 Jiahui Chen, Xu Guo, Wensheng Gan, Shichen Wan, Philip S. Yu

Compared with traditional utility mining, OSUM can find more practical and meaningful patterns in real-life applications.

Itemset Utility Maximization with Correlation Measure

no code implementations26 Aug 2022 Jiahui Chen, Yixin Xu, Shicheng Wan, Wensheng Gan, Jerry Chun-Wei Lin

As an important data mining technology, high utility itemset mining (HUIM) is used to find out interesting but hidden information (e. g., profit and risk).

Temporal Fuzzy Utility Maximization with Remaining Measure

no code implementations26 Aug 2022 Shicheng Wan, Zhenqiang Ye, Wensheng Gan, Jiahui Chen

In this paper, we propose a novel one-phase temporal fuzzy utility itemset mining approach called TFUM.

Towards Target High-Utility Itemsets

no code implementations9 Jun 2022 Jinbao Miao, Wensheng Gan, Shicheng Wan, Yongdong Wu, Philippe Fournier-Viger

In this paper, we address this issue by proposing a novel list-based algorithm with pattern matching mechanism, named THUIM (Targeted High-Utility Itemset Mining), which can quickly match high-utility itemsets during the mining process to select the targeted patterns.

Towards Target Sequential Rules

no code implementations9 Jun 2022 Wensheng Gan, Gengsen Huang, Jian Weng, Tianlong Gu, Philip S. Yu

In this paper, we provide the relevant definitions of target sequential rule and formulate the problem of targeted sequential rule mining.

Smart System: Joint Utility and Frequency for Pattern Classification

no code implementations9 Jun 2022 Qi Lin, Wensheng Gan, Yongdong Wu, Jiahui Chen, Chien-Ming Chen

Big data technologies such as design making, event detection, and classification are developed to help manufacturing organizations to achieve smart systems.

Classification Event Detection

Towards Revenue Maximization with Popular and Profitable Products

no code implementations26 Feb 2022 Wensheng Gan, Guoting Chen, Hongzhi Yin, Philippe Fournier-Viger, Chien-Ming Chen, Philip S. Yu

To fulfill this gap, in this paper, we first propose a general profit-oriented framework to address the problem of revenue maximization based on economic behavior, and compute the 0n-shelf Popular and most Profitable Products (OPPPs) for the targeted marketing.


TaSPM: Targeted Sequential Pattern Mining

no code implementations26 Feb 2022 Gengsen Huang, Wensheng Gan, Philip S. Yu

What's more, to improve the efficiency of TaSPM on large-scale datasets and multiple-items-based sequence datasets, we propose several pruning strategies to reduce meaningless operations in mining processes.

Sequential Pattern Mining

US-Rule: Discovering Utility-driven Sequential Rules

no code implementations29 Nov 2021 Gengsen Huang, Wensheng Gan, Jian Weng, Philip S. Yu

High utility sequential pattern mining (HUSPM) is one kind of utility-driven mining.

Sequential Pattern Mining

Anomaly Rule Detection in Sequence Data

no code implementations29 Nov 2021 Wensheng Gan, Lili Chen, Shicheng Wan, Jiahui Chen, Chien-Ming Chen

Analyzing sequence data usually leads to the discovery of interesting patterns and then anomaly detection.

Anomaly Detection Outlier Detection

Flexible Pattern Discovery and Analysis

no code implementations24 Nov 2021 Chien-Ming Chen, Lili Chen, Wensheng Gan

Based on the analysis of the proportion of utility in the supporting transactions used in the field of data mining, high utility-occupancy pattern mining (HUOPM) has recently attracted widespread attention.

TargetUM: Targeted High-Utility Itemset Querying

no code implementations30 Oct 2021 Jinbao Miao, Shicheng Wan, Wensheng Gan, Jiayi Sun, Jiahui Chen

The algorithm uses a lexicographic querying tree and three effective pruning strategies to improve the mining efficiency.

FRI-Miner: Fuzzy Rare Itemset Mining

no code implementations11 Mar 2021 Yanling Cui, Wensheng Gan, Hong Lin, Weimin Zheng

In some cases, infrequent or rare itemsets and rare association rules also play an important role in real-life applications.


On the Construction of a Post-Quantum Blockchain for Smart City

no code implementations31 Dec 2020 Jiahui Chen, Wensheng Gan, Muchuang Hu, Chien-Ming Chen

In addition, traditional proof of work (PoW)-based consensus protocols such as Bitcoin cannot supply memory mining, and the transaction capacity of each block in a blockchain is limited and needs to be expanded.

Cryptography and Security

Discovering High Utility-Occupancy Patterns from Uncertain Data

no code implementations18 Aug 2020 Chien-Ming Chen, Lili Chen, Wensheng Gan, Lina Qiu, Weiping Ding

To find patterns that can represent the supporting transaction, a recent study was conducted to mine high utility-occupancy patterns whose contribution to the utility of the entire transaction is greater than a certain value.


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