Results 11 to 20 of about 10,424,890 (336)
Mining actionable combined high utility incremental and associated sequential patterns. [PDF]
PLoS ONE, 2023 High utility sequential pattern (HUSP) mining aims to mine actionable patterns with high utilities, widely applied in real-world learning scenarios such as market basket analysis, scenic route planning and click-stream analysis.
Min Shi +3 more
doaj +3 more sources
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
openaire +4 more sources
Mining significant high utility gene regulation sequential patterns [PDF]
BMC Syst Biol, 2017 BackgroundMining frequent gene regulation sequential patterns in time course microarray datasets is an important mining task in bioinformatics. Although finding such patterns are of paramount important for studying a disease, most existing work do not ...
Morteza Zihayat +2 more
semanticscholar +2 more sources
Mining of high utility-probability sequential patterns from uncertain databases [PDF]
PLoS One, 2017 High-utility sequential pattern mining (HUSPM) has become an important issue in the field of data mining. Several HUSPM algorithms have been designed to mine high-utility sequential patterns (HUPSPs).
Binbin Zhang +3 more
semanticscholar +2 more sources
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
Surprising and novel multivariate sequential patterns using odds ratio for temporal evolution in healthcare [PDF]
BMC Medical Informatics and Decision MakingBackground Pattern mining techniques are helpful tools when extracting new knowledge in real practice, but the overwhelming number of patterns is still a limiting factor in the health-care domain.
Isidoro J. Casanova +6 more
doaj +2 more sources
BicSPAM: flexible biclustering using sequential patterns [PDF]
BMC Bioinformatics, 2014 Biclustering is a critical task for biomedical applications. Order-preserving biclusters, submatrices where the values of rows induce the same linear ordering across columns, capture local regularities with constant, shifting, scaling and sequential ...
Rui Henriques, S. Madeira
semanticscholar +2 more sources
Scalable Mining of High-Utility Sequential Patterns With Three-Tier MapReduce Model
ACM Transactions on Knowledge Discovery from Data, 2021 High-utility sequential pattern mining (HUSPM) is a hot research topic in recent decades since it combines both sequential and utility properties to reveal more information and knowledge rather than the traditional frequent itemset mining or sequential ...
Jerry Chun-wei Lin +4 more
semanticscholar +1 more source
A Survey of Sequential Pattern Based E-Commerce Recommendation Systems
Algorithms, 2023 E-commerce recommendation systems usually deal with massive customer sequential databases, such as historical purchase or click stream sequences. Recommendation systems’ accuracy can be improved if complex sequential patterns of user purchase behavior ...
Christie I. Ezeife, Hemni Karlapalepu
doaj +1 more source
Frontiers in Computational Neuroscience, 2021 Sequential transitions between metastable states are ubiquitously observed in the neural system and underlying various cognitive functions such as perception and decision making.
Tomoki Kurikawa +2 more
doaj +1 more source