Results 21 to 30 of about 2,599,171 (311)
Deep Learning, Mining, and Collaborative Clustering to Identify Flexible Daily Activities Patterns
Sensors, 2022 The monitoring of the daily life activities routine is beneficial, especially in old age. It can provide relevant information on the person’s health state and wellbeing and can help identify deviations that signal care deterioration or incidents that ...
Viorica Rozina Chifu +6 more
doaj +1 more source
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
core +1 more source
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
doaj +1 more source
Confidence of AOI-HEP Mining Pattern [PDF]
, 2018 Attribute Oriented Induction High level Emerging Pattern (AOI-HEP) has been proven can mine frequent and similar patterns and the finding AOI-HEP patterns will be underlined with confidence mining pattern for each AOI-HEP pattern either frequent or ...
Trisetyarso, Agung; Bina Nusantara university +2 more
core +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
Soft constraints for pattern mining [PDF]
Journal of Intelligent Information Systems, 2013 Constraint-based pattern discovery is at the core of numerous data mining tasks. Patterns are extracted with respect to a given set of constraints (frequency, closedness, size, etc). In practice, many constraints require threshold values whose choice is often arbitrary.
Willy Ugarte +4 more
openaire +2 more sources