Sökning: "stream data mining"

Visar resultat 6 - 10 av 21 avhandlingar innehållade orden stream data mining.

  1. 6. Data Modeling for Outlier Detection

    Författare :Shahrooz Abghari; Niklas Lavesson; Håkan Grahn; Veselka Boeva; Anders Holst; Blekinge Tekniska Högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; data modeling; cluster analysis; stream data; outlier detection;

    Sammanfattning : This thesis explores the data modeling for outlier detection techniques in three different application domains: maritime surveillance, district heating, and online media and sequence datasets. The proposed models are evaluated and validated under different experimental scenarios, taking into account specific characteristics and setups of the different domains. LÄS MER

  3. 7. Vattenfysikalisk-kemiska och bottenfaunaförhållanden i ett norrländskt vattendrag påverkat av utsläpp från sulfidmalmbrytning och anrikning

    Författare :Bertil Brånin; Umeå universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Mining; metals; pollution; stream; physicochemical; invertebrates and diversity index;

    Sammanfattning : Gruvbrytnings- och anrikningsverksamheten av komplexa zink-och kopparsulfidmalmer orsakar på flera håll i Västerbottens län vattenföroreningsproblem. För att studera effekterna av utsläppen i recipienten, har undersökningar och utvärderingar gjorts av de fysikalisk-kemiska och biologiska förhållandena i Vormbäcken 1971 - 1975. LÄS MER

  4. 8. Clustering Techniques for Mining and Analysis of Evolving Data

    Författare :Vishnu Manasa Devagiri; Veselka Boeva; Niklas Lavesson; Sindri Magnússon; Blekinge Tekniska Högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Clustering analysis; Concept drift; Evolutionary clustering; Machine learning; Streaming data; Computer Science; Datavetenskap;

    Sammanfattning : The amount of data generated is on rise due to increased demand for fields like IoT, smart monitoring applications, etc. Data generated through such systems have many distinct characteristics like continuous data generation, evolutionary, multi-source nature, and heterogeneity. LÄS MER

  5. 9. Mining Big and Fast Data: Algorithms and Optimizations for Real-Time Data Processing

    Författare :Muhammad Anis Uddin Nasir; Sarunas Girdzijauskas; Marta Patino-Martinez; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Stream Processing; Load Balancing; Fully Dynamic Graphs; Real-Time Data Processing; Top-k Densest Subgraph; Frequent Subgraph Mining; Informations- och kommunikationsteknik; Information and Communication Technology; Computer Science; Datalogi;

    Sammanfattning : In the last decade, real-time data processing has attracted much attention from both academic community and industry, as the meaning of big data has evolved to incorporate as well the speed of data. The massive and rapid production of data comes via numerous services, i.e., Web, social networks, Internet of Things (IoT) and mobile devices. LÄS MER

  7. 10. Spatio-Temporal Data Mining for Location-Based Services

    Författare :Gyözö Gidofalvi; Torben Bach Pedersen; Xiaofang Zhou; Agnès Voisard; Simonas Saltenis; Geomatic ApS - Center for Geoinformatics; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; spatio-temporal data mining; location-based services; location and trajectory anonymization;

    Sammanfattning : Largely driven by advances in communication and information technology, such as the increasing availability and accuracy of GPS technology and the miniaturization of wireless communication devices, Location–Based Services (LBS) are continuously gaining popularity. Innovative LBSes integrate knowledge about the users into the service. LÄS MER