2024 Fast utility mining on sequence data

Fast utility mining on sequence data

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August undefined, 2024

WebIn HUSP mining, the utility of a sequence represents its importance, which may be measured in terms of profit or other information valuable for users. Wang et al. introduced a tighter upper bound of the utility of a sequence (TSU) and design a novel data structure to maintain high utility sequences, facilitating incremental HUSP mining. WebMar 1, 2024 · The utility-array structure is designed to store the necessary information of the sequence-order and utility. ProUM can significantly improve the mining efficiency by utilizing the projection technique in generating utility-array, and it effectively reduces the memory consumption. Furthermore, a new upper bound named sequence extension …

Fast Utility Mining on Sequence Data IEEE Journals & Magazin…

Web744 GAN et al.: FAST UTILITY MINING ON SEQUENCE DATA 9. 745 If the utility of prefix’ is no less than the minimum utility value 400K) sequences, named C8S6T4I3D X K) was also used to 786. 746 δ × u(D), prefix’ is identified as a HUSP (Lines 4-6). If the evaluate the scalability of the compared approaches. ... Web1 day ago · The item b in the high-utility sequence t has negative values. Problem statement. The problem of HUSPM (high utility sequence pattern mining) is to find all … mary jean baptiste

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WebNov 26, 2024 · To eliminate the bias, the problem of on-shelf utility mining (OSUM) is introduced. In this paper, we focus on the task of OSUM of sequence data, where the sequential database is divided into several partitions according to time periods and items are associated with utilities and several on-shelf time periods. To address the problem, we … WebAug 30, 2024 · Discovering and analyzing interesting patterns (i.e., itemsets, rules, and sequences) from various types of data (e.g., transaction data, sequence, graph, stream data, etc.) is a vital and challenging task in the data mining domain [7, 9, 17, 21].Frequency is usually an important yardstick in data mining, and there are many kinds of mining … WebDec 29, 2024 · Furthermore, a new upper bound on utility, namely tighter reduced sequence utility (TRSU) and two pruning strategies in search space, are utilized to … hurricane to hit florida again

Fast Weighted Sequential Pattern Mining SpringerLink

WebApr 28, 2024 · It utilizes a lexicographic sequence (LS)-tree and a utility-linked (UL)-list structure to fast discover HUSPs. Furthermore, two pruning strategies are introduced in … WebHUSP-SP: Faster Utility Mining on Sequence Data. dsi-lab1/huspm • 29 Dec 2024. High-utility sequential pattern mining (HUSPM) has emerged as an important topic due to its wide application and considerable popularity. ... mast-group/sequence-mining • 16 Feb 2016. Recent sequential pattern mining methods have used the minimum description ... mary j crossword clueWebAs an important technology in computer science, data mining aims to mine hidden, previously unknown, and potentially valuable patterns from databases.High utility negative sequential rule (HUNSR) mining can provide more comprehensive decision-making information than high utility sequential rule (HUSR) mining by taking non-occurring … mary jean chan fleche review

"WebMar 18, 2024 · Nowadays, raw data is rarely used directly. In real world applications, data is often processed, and the necessary knowledge extracted, depending on the purpose of … " - Fast utility mining on sequence data

Fast utility mining on sequence data

WebDec 29, 2024 · High-utility sequential pattern mining (HUSPM) has emerged as an important topic due to its wide application and considerable popularity. However, due to the combinatorial explosion of the search space when the HUSPM problem encounters a low utility threshold or large-scale data, it may be time-consuming and memory-costly to … WebFeb 28, 2024 · IEEE Transactions on Cybernetics. High-utility sequential pattern (HUSP) mining is an emerging topic in the field of knowledge discovery in databases. It consists …

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WebSep 2, 2024 · High utility itemset mining (HUIM) is an expansion of frequent itemset mining (FIM). Both of them are techniques to find interesting patterns from the database. The interesting patterns found by FIM are based on frequently appeared items. This approach is not that efficient to identify the desired patterns, as it considers only … WebAug 30, 2024 · Discovering and analyzing interesting patterns (i.e., itemsets, rules, and sequences) from various types of data (e.g., transaction data, sequence, graph, stream …

WebAug 27, 2024 · On-shelf utility mining (OSUM) is an emerging research direction in data mining. It aims to discover itemsets that have high relative utility in their selling time period. Compared with traditional utility mining, OSUM can find more practical and meaningful patterns in real-life applications. However, there is a major drawback to traditional OSUM. WebDec 29, 2024 · HUSP-SP utilizes the compact seq-array to store the necessary information in a sequence database. The seqPro structure is designed to efficiently calculate …

WebMay 24, 2024 · Sequence Data in Data Mining is defined as data in which the points in the dataset are reliant on the other points in the dataset. A Timeseries, such as a stock price … WebFast utility mining on sequence data. IEEE Trans. Cybernet. 51, 2 (2024), 487 – 500. Google Scholar Cross Ref [25] Han Jiawei, Kamber Micheline, and Pei Jian. 2011. Data mining concepts and techniques (3rd ed.). Morgan Kaufmann, ISBN 978-0123814791. Google Scholar [26] Han Jiawei, Pei Jian, Yin Yiwen, and Mao Runying. 2004.

WebApr 6, 2024 · Fast Utility Mining on Sequence Data. IEEE Transactions on Cybernetics 2024-02 Journal article DOI: 10. ... EHAUSM: An efficient algorithm for high average utility sequence mining. Information Sciences 2024-04 Journal article DOI: 10.1016/j.ins.2024.11.018 Contributors ...

WebUtility itemset mining, which finds the item sets based on utility factors, has established itself as an essential form of data mining. The utility is defined in terms of quantity and some ... hurricane to hit florida this weekWebSequence data have been widely utilized in many applications, such as analyzing sequential user behavior on the Web, influence maximization, route planning, and targeted marketing. ... Souleymane Zida, and Vincent S. Tseng. 2014. FHM: Faster high-utility itemset mining using estimated utility co-occurrence pruning. In Proceedings of the ... mary jean bentleyWebProUM: Projection-based utility mining on sequence data. Information Sciences 513 (2024), 222 – 240. Google Scholar Digital Library [18] Gan Wensheng, Lin Jerry Chun-Wei, Zhang Jiexiong, Fournier-Viger Philippe, Chao Han-Chieh, and Yu Philip S. 2024. Fast utility mining on sequence data. IEEE Transactions on Cybernetics 51, 2 (2024), 487 … mary j croftWebSequential Pattern Mining. 9 papers with code • 0 benchmarks • 0 datasets. Sequential Pattern Mining is the process that discovers relevant patterns between data examples where the values are delivered in a sequence. Source: Big Data Analytics for Large Scale Wireless Networks: Challenges and Opportunities. hurricane to hit ukWebSequence data have been widely utilized in many applications, such as analyzing sequential user behavior on the Web, influence maximization, route planning, and … mary jean eastmanWebApr 16, 2024 · In this paper, we develop a projection-based utility mining algorithm named ProUM, to fast mining of high-utility sequential patterns. We propose a new data structure namely utility-array, which can be directly used to calculate the utility and remaining utility of a sequence without scanning the database. mary jean brown standardWebSequential Pattern Mining. 9 papers with code • 0 benchmarks • 0 datasets. Sequential Pattern Mining is the process that discovers relevant patterns between data examples … hurricane to hit louisiana