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Towards Scalable Process Mining Pipelines
Published 2023Subjects: “…Measurement,Organizations,Computer architecture,Big Data,Data mining,Proposals,Pipeline processing…”
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Novel optical gates for data acquisition and processing: opticalwavelength division multiplexer
Published 1995“…In this paper, the use of optical logic gates as a building block in high speed, high data rate, signal processing and data acquisition applications, will be investigated. …”
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Recursive Quad-Tree Block Partitioning for Data Embedding in Images
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LocationSpark: In-memory Distributed Spatial Query Processing and Optimization
Published 2020“…<p>Due to the ubiquity of spatial data applications and the large amounts of spatial data that these applications generate and process, there is a pressing need for scalable spatial query processing. …”
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Three-phase approach for curriculum-based course timetabling problem. (c2012)
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Implementation of the almost guaranteed dimensioning strategy in integrated IP networks
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Digital twin in energy industry: Proposed robust digital twin for power plant and other complex capital-intensive large engineering systems
Published 2022“…The data-driven approach alone is not sufficient and a low-order physics based model should operate in tandem with the updated latest system parameters to allow interpretation and enhancing the results from the data-driven process. …”
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A decentralized load balancing strategy for parallel search-three optimization. (c2010)
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Iterative Querying in Web-Based Database Application
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Global User-Level Perception of COVID-19 Contact Tracing Applications: Data-Driven Approach Using Natural Language Processing
Published 2022“…We also provided a large-scale benchmark data set. We believe the presented analysis, data set, and proposed solutions combined with a user-friendly interface can be used as a rapid surveillance tool to analyze and monitor mobile apps deployed in emergency situations leading to rapid changes in the applications without going through an intense participatory design method.…”
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Sulfur oxidative coupling of methane process development and its modeling via machine learning
Published 2022“…The outcomes of the simulated process were used to design a data-driven modeling approach, based on machine learning methods, and to evaluate its interpolation accuracy. …”
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A Methodology of Rule Discovery from Large-scale Multi-tier Noisy Educational Data
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doctoralThesis