Results 51 to 60 of about 735,862 (187)
IEEE Access, 2023 Finding periodic-frequent patterns in temporal databases is a prominent data mining problem with bountiful applications. It involves discovering all patterns in a database that satisfy the user-specified minimum support ( $min{\_{}}sup$ ) and maximum ...
Palla Likhitha +4 more
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Knowledge and Information SystemsAbstract In a diffusion network, some nodes exhibit similar diffusion patterns as they have analogous influence reachabilities to the other nodes. When these nodes are selected as initially infected nodes, they tend to yield similar infection results.
Qian Yan +4 more
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Constraint-based Sequential Pattern Mining with Decision Diagrams
, 2018 Constrained sequential pattern mining aims at identifying frequent patterns on a sequential database of items while observing constraints defined over the item attributes.
Cire, Andre A. +2 more
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Distances Between Formal Concept Analysis Structures [PDF]
Transactions on Graph Data and KnowledgeIn this paper, we study the notion of distance between the most important structures of formal concept analysis: formal contexts, concept lattices, and implication bases.
Bazin, Alexandre, Kahn, Giacomo
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THE IMPLEMENTATION OF HESITANT FUZZY SPATIAL CO-LOCATION PATTERN MINING ALGORITHM BASED ON PYTHON [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 As one of the important research directions in the spatial data mining, spatial co-location pattern mining aimed at finding the spatial features whose the instances are frequent co-locate in neighbouring domain.
Z. W. Liu +7 more
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Closed High Utility Pattern Mining over Data Stream Based on Projection in the Window
Taiyuan Ligong Daxue xuebao, 2022 A fast and effective algorithm EFIM_Closed_DS was proposed to mine closed and high utility itemsets in the data stream environment. The algorithm is based on the projection technology in the window, and the database projection technology and transaction ...
Muhang LI +4 more
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Constraint-Based Pattern Mining
, 2014 Many pattern mining systems are designed to solve one specific problem, such as frequent, closed or maximal frequent itemset mining, efficiently. Even though efficient, their specialized nature can make these systems difficult to apply in other situations than the one they were designed for. This chapter provides an overview of generic constraint-based
Nijssen, Siegfried, Zimmermann, Albrecht
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Journal of Intelligent Information Systems, 2014 The special issue of the Journal of Intelligent Information Systems (JIIS) features papers from the first International Workshop on New Frontiers in Mining Complex Patterns (NFMCP 2011), which was held in Bristol UK, on September 24th 2012 in conjunction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery
Appice Annalisa +4 more
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An N-List-Based Approach for Mining Frequent Inter-Transaction Patterns
IEEE Access, 2020 Mining frequent inter-transaction patterns (ITPs) from large databases is both useful and of interest. Since frequent inter-transaction patterns (FITPs) are discovered across transactions in a transaction database (TD), the number of patterns is very ...
Thanh-Ngo Nguyen +4 more
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Vessel Trajectory Data Mining: A Review
IEEE AccessRecent advancements in sensor and tracking technologies have facilitated the real-time tracking of marine vessels as they traverse the oceans. As a result, there is an increasing demand to analyze these datasets to derive insights into vessel movement ...
Alexandros Troupiotis-Kapeliaris +2 more
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