Results 11 to 20 of about 312,970 (308)
Efficient Chain Structure for High-Utility Sequential Pattern Mining [PDF]
IEEE Access, 2020 High-utility sequential pattern mining (HUSPM) is an emerging topic in data mining, which considers both utility and sequence factors to derive the set of high-utility sequential patterns (HUSPs) from the quantitative databases.
Jerry Chun-Wei Lin +4 more
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Sequential Hierarchical Pattern Clustering [PDF]
, 2009 Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all pairwise distances between patterns must be computed in advance. This makes it computationally expensive and difficult to cope with large scale data used in several applications, such ...
Bassam Farran +2 more
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Sequential Pattern Mining [PDF]
, 2005 Sequential pattern mining deals with data represented as sequences (a sequence contains sorted sets of items). Compared to the association rule problem, a study of such data provides “inter-transaction” analysis (Agrawal & Srikant, 1995). Applications for sequential pattern extraction are numerous and the problem definition has been slightly ...
Masseglia, Florent +2 more
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A MDL-based Pattern Mining Algorithm for Log Sequences [PDF]
Jisuanji gongcheng, 2021 Logs contain rich information about procedural events generated in Internet systems,and the mining of high-quality sequence modes from log data can improve the efficiency of system operation and maintenance. To address the problem of redundant results of
DU Shiqing, WANG Peng, WANG Wei
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Towards bounding sequential patterns [PDF]
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining, 2011 Given a sequence database, can we have a non-trivial upper bound on the number of sequential patterns? The problem of bounding sequential patterns is very challenging in theory due to the combinatorial complexity of sequences, even given some inspiring results on bounding itemsets in frequent itemset mining.
Chedy Raïssi, Jian Pei 0001
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Sequential patterns for text categorization [PDF]
Intelligent Data Analysis, 2006 Text categorization is a well-known task based essentially on statistical approaches using neural networks, Support Vector Machines and other machine learning algorithms. Texts are generally considered as bags of words without any order. Although these approaches have proven to be efficient, they do not provide users with comprehensive and reusable ...
Jaillet, Simon +2 more
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Long-term implicit memory for sequential auditory patterns in humans
eLife, 2020 Memory, on multiple timescales, is critical to our ability to discover the structure of our surroundings, and efficiently interact with the environment.
Roberta Bianco +6 more
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Sequential Pattern Mining of Tourist Spatiotemporal Movement
Recoletos Multidisciplinary Research Journal, 2021 The study aimed to develop a software application to capture tourist activity information, extract movement patterns from the dataset through sequential pattern mining (SPM), and visualize spatiotemporal movement.
Maria Isabel R. Abucejo +1 more
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Improved Collaborative Filtering Recommendation Through Similarity Prediction
IEEE Access, 2020 Collaborative Filtering (CF) approaches have been widely used in various applications of recommender systems. These methods are based on estimating the similarity between users/items by analyzing the ratings provided by users.
Nima Joorabloo, Mahdi Jalili, Yongli Ren
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Repérer les clichés dans les romans sentimentaux grâce à la méthode des « motifs »
Lidil, 2016 This paper deals with the exploration of genre-specific phraseology, more precisely, of “sequential patterns” expressing clichés. In our approach, a sequential pattern (or “motif”) is a specific and regular lexical and grammatical configuration.
Dominique Legallois +2 more
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