Essays about: "Data Stream Mining"

Showing result 1 - 5 of 13 essays containing the words Data Stream Mining.

  1. 1. Geological characterization of rock samples by LIBS and ME-XRT analytical techniques

    University essay from Luleå tekniska universitet/Geovetenskap och miljöteknik

    Author : Nsioh Elvis Nkioh; [2022]
    Keywords : geological characterization; analytical techniques; LIBS; ME-XRT; SEM; element maps; SEM-EDS; secondary electrons; rock samples; automated ore microscopy; SEM-Zeiss Merlin; element weight percentages; element oxide percentages; scanning techniques; analytical methods; laser induced breakdown spectrometry; multi energy x-ray transmission; scanning electron microscope; carbon coating; mineralogical classification; element composition; rock chemistry; rock chemical composition;

    Abstract : One of the major challenges in earth sciences and mineral exploration has been to determine with high accuracy and at a fast rate the elemental composition as well as the general chemistry of a rock sample. Many analytical techniques e.g. READ MORE

  3. 2. Graph-based Multi-view Clustering for Continuous Pattern Mining

    University essay from

    Author : Christoffer Åleskog; [2021]
    Keywords : Machine Learning; Unsupervised Learning; Multi-view Clustering; Data Stream Mining; Pattern Mining;

    Abstract : Background. In many smart monitoring applications, such as smart healthcare, smart building, autonomous cars etc., data are collected from multiple sources and contain information about different perspectives/views of the monitored phenomenon, physical object, system. READ MORE

  4. 3. Spatio-temporal Traffic Flow Prediction

    University essay from KTH/Geoinformatik

    Author : Mesele Atsbeha Gebresilassie; [2017]
    Keywords : ITS; principal component analysis; spatio-temporal traffic flow; spatially weighted regression; traffic flow prediction; support vector machine for regression;

    Abstract : The advancement in computational intelligence and computational power and the explosionof traffic data continues to drive the development and use of Intelligent TransportSystem and smart mobility applications. As one of the fundamental components of IntelligentTransport Systems, traffic flow prediction research has been advancing from theclassical statistical and time-series based techniques to data–driven methods mainly employingdata mining and machine learning algorithms. READ MORE

  5. 4. An extended BIRCH-based clustering algorithm for large time-series datasets

    University essay from Mittuniversitetet/Avdelningen för informations- och kommunikationssystem

    Author : Jiahuan Lei; [2017]
    Keywords : Time series; Data stream; Clustering; BIRCH; DTW; DBA.;

    Abstract : Temporal data analysis and mining has attracted substantial interest due to theproliferation and ubiquity of time series in many fields. Time series clustering isone of the most popular mining methods, and many time series clustering algorithmsprimarily focus on detecting the clusters in a batch fashion that will use alot of memory space and thus limit the scalability and capability for large timeseries. READ MORE

  6. 5. Platforms for Real-time Moving Object Location Stream Processing

    University essay from KTH/Geoinformatik

    Author : Shérazade Gadhoumi; [2017]
    Keywords : Data Stream Management Systems; Data mining; Moving point patterns;

    Abstract : Boarder security is usually based on observing and analyzing the movement of MovingPoint Objects (MPOs): vehicle, boats, pedestrian or aircraft for example. This movementanalysis can directly be made by an operator observing the MPOs in real-time, but theprocess is time-consuming and approximate. READ MORE