Sökning: "stream data"

Visar resultat 1 - 5 av 333 avhandlingar innehållade orden stream data.

1. 1. Data Stream Mining and Analysis : Clustering Evolving Data

   Författare :Christian Nordahl; Håkan Grahn; Veselka Boeva; Marie Netz; Plamen Angelov; Blekinge Tekniska Högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Data Stream Mining; Clustering; Data Streams; Data Mining; Computer Science; Datavetenskap;

   Sammanfattning : Streaming data is becoming more prevalent in our society every day. With the increasing use of technologies such as the Internet of Things (IoT) and 5G networks, the number of possible data sources steadily increases. Therefore, there is a need to develop algorithms that can handle the massive amount of data we now generate. LÄS MER

3. 2. Scalable and Reliable Data Stream Processing

   Författare :Paris Carbone; Seif Haridi; Peter Pietzuch; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; distributed systems; stream processing; data management; databases; distributed computing; data processing; fault tolerance; database optimisation; programming systems; data science; data analytics; computer science; Informations- och kommunikationsteknik; Information and Communication Technology;

   Sammanfattning : Data-stream management systems have for long been considered as a promising architecture for fast data management. The stream processing paradigm poses an attractive means of declaring persistent application logic coupled with state over evolving data. LÄS MER

4. 3. Scalable Validation of Data Streams

   Författare :Cheng Xu; Tore Risch; Byung-Suk Lee; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Data Stream Management; Distributed Data Stream Processing; Data Stream Validation; Anomaly Detection; Datavetenskap med inriktning mot databasteknik; Computer Science with specialization in Database Technology;

   Sammanfattning : In manufacturing industries, sensors are often installed on industrial equipment generating high volumes of data in real-time. For shortening the machine downtime and reducing maintenance costs, it is critical to analyze efficiently this kind of streams in order to detect abnormal behavior of equipment. LÄS MER

5. 4. Scalable Scientific Stream Query Processing

   Författare :Milena Ivanova; Tore Risch; Elke A. Rundensteiner; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; data stream management systems; parallel stream processing; scientific stream query processing; user-defined stream partitioning; Computer science; Datalogi; Data- och systemvetenskap; Computer Systems Sciences;

   Sammanfattning : Scientific applications require processing of high-volume on-line streams of numerical data from instruments and simulations. In order to extract information and detect interesting patterns in these streams scientists need to perform on-line analyses including advanced and often expensive numerical computations. LÄS MER

7. 5. 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