Search for dissertations about: "stream data"

Showing result 1 - 5 of 277 swedish dissertations containing the words stream data.

2. 1. Scalable Validation of Data Streams

   Author : Cheng Xu; Tore Risch; Byung-Suk Lee; Uppsala universitet; []
   Keywords : NATURAL SCIENCES; NATURVETENSKAP; 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;

   Abstract : 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. READ MORE

4. 2. Scalable and Reliable Data Stream Processing

   Author : Paris Carbone; Seif Haridi; Peter Pietzuch; KTH; []
   Keywords : ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; 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;

   Abstract : 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. READ MORE

5. 3. Scalable Scientific Stream Query Processing

   Author : Milena Ivanova; Tore Risch; Elke A. Rundensteiner; Uppsala universitet; []
   Keywords : NATURAL SCIENCES; NATURVETENSKAP; 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;

   Abstract : 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. READ MORE

6. 4. Data Modeling for Outlier Detection

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

   Abstract : 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. READ MORE

7. 5. Energy Efficiency in Machine Learning : Approaches to Sustainable Data Stream Mining

   Author : Eva García Martín; Håkan Grahn; Veselka Boeva; Emiliano Casalicchio; Jesse Read; Blekinge Tekniska Högskola; []
   Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; machine learning; energy efficiency; data stream mining; green machine learning; edge computing; Computer Science; Datavetenskap;

   Abstract : Energy efficiency in machine learning explores how to build machine learning algorithms and models with low computational and power requirements. Although energy consumption is starting to gain interest in the field of machine learning, still the majority of solutions focus on obtaining the highest predictive accuracy, without a clear focus on sustainability. READ MORE