Results 21 to 30 of about 739,545 (283)
Novel Method for Speeding Up Time Series Processing in Smart City Applications
Smart Cities, 2022 The huge amount of daily generated data in smart cities has called for more effective data storage, processing, and analysis technologies. A significant part of this data are streaming data (i.e., time series data).
Mohammad Bawaneh, Vilmos Simon
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Mid-level Deep Pattern Mining [PDF]
, 2015 Mid-level visual element discovery aims to find clusters of image patches that are both representative and discriminative. In this work, we study this problem from the prospective of pattern mining while relying on the recently popularized Convolutional ...
Hengel, Anton van den +3 more
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Mining Periodic-Frequent Patterns in Irregular Dense Temporal Databases Using Set Complements
IEEE Access, 2023 Periodic-frequent patterns are a vital class of regularities in a temporal database. Most previous studies followed the approach of finding these patterns by storing the temporal occurrence information of a pattern in a list.
Pamalla Veena +6 more
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Human Activity Recognition through Weighted Finite Automata
Proceedings, 2018 This work addresses the problem of human activity identification in an ubiquitous environment, where data is collected from a wide variety of sources.
Sergio Salomón, Cristina Tîrnăucă
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Non-Query-Based Pattern Mining and Sentiment Analysis for Massive Microblogging Online Texts
IEEE Access, 2020 Pattern mining has been widely studied in the last decade given its great interest for research and its numerous applications in the real world. In this paper the definition of query and non-query based systems is proposed, highlighting the needs of non ...
Jose Angel Diaz-Garcia +2 more
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Data-driven structural synthesis of supercritical CO2 power cycles
Frontiers in Chemical Engineering, 2023 With new materials, objectives or constraints, it becomes increasingly difficult to develop optimal processes using conventional heuristics-based or superstructure-based methods.
Tahar Nabil +2 more
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DESQ: Frequent Sequence Mining with Subsequence Constraints [PDF]
, 2016 Frequent sequence mining methods often make use of constraints to control which subsequences should be mined. A variety of such subsequence constraints has been studied in the literature, including length, gap, span, regular-expression, and hierarchy ...
Beedkar, Kaustubh, Gemulla, Rainer
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Efficient chain structure for high-utility sequential pattern mining [PDF]
, 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.
Djenouri, Youcef +4 more
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Flexible constrained sampling with guarantees for pattern mining [PDF]
, 2017 Pattern sampling has been proposed as a potential solution to the infamous pattern explosion. Instead of enumerating all patterns that satisfy the constraints, individual patterns are sampled proportional to a given quality measure.
A Giacometti +15 more
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Semantic-Geographic Trajectory Pattern Mining Based on a New Similarity Measurement
ISPRS International Journal of Geo-Information, 2017 Trajectory pattern mining is becoming increasingly popular because of the development of ubiquitous computing technology. Trajectory data contain abundant semantic and geographic information that reflects people’s movement patterns, i.e., who is ...
You Wan, Chenghu Zhou, Tao Pei
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