Results 11 to 20 of about 2,649,704 (304)
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
core +6 more sources
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 The classification of tree species through remote sensing data is of great significance to monitoring forest disturbances, biodiversity assessment, and carbon estimation.
Yanbiao Xi +5 more
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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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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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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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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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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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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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Learning Sequential Patterns for Lipreading [PDF]
Procedings of the British Machine Vision Conference 2011, 2011 This paper proposes a novel machine learning algorithm (SP-Boosting) to tackle the problem of lipreading by building visual sequence classifiers based on sequential patterns. We show that an exhaustive search of optimal sequential patterns is not possible due to the immense search space, and tackle this with a novel, efficient tree-search method with a
Eng-Jon Ong, Richard Bowden
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