Search for dissertations about: "Data science and Big data analytics"

Showing result 1 - 5 of 10 swedish dissertations containing the words Data science and Big data analytics.

2. 1. How can data science contribute to a greener world? : an exploration featuring machine learning and data mining for environmental facilities and energy end users

   Author : Dong Wang; Mats Tysklind; Johan Trygg; Lili Jiang; Venkat Venkatasubramanian; Umeå universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Wastewater treatment; Process analytics; Big data; Machine learning; Interpretable AI; Power plants; Failure analysis; Data mining; Buildings; Energy consumption; Anomaly detection;

   Abstract : Human society has taken many measures to address environmental issues. For example, deploying wastewater treatment plants (WWTPs) to alleviate water pollution and the shortage of usable water; using waste-to-energy (WtE) plants to recover energy from the waste and reduce its environmental impact. READ MORE

4. 2. Smart Cities and Big Data Analytics : A Data-Driven Decision-Making Perspective

   Author : Ahmed M. Shahat Osman; Ahmed Elragal; Anna Ståhlbröst; Eli Hustad; Luleå tekniska universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; smart cities; big data analytics; data-driven decision-making; Informationssystem; Information Systems;

   Abstract : The phenomenon of digitalization has led to the emergence of a new term—big data. Big data refers to the vast volumes of digital data characterized by its volume, velocity, variety, veracity, and value. READ MORE

5. 3. Topological and Scaling Analysis of Geospatial Big Data

   Author : Ding Ma; Bin Jiang; Shaowen Wang; Högskolan i Gävle; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Third definition of fractal; scaling; topology; power law; head tail breaks; ht-index; complex network; geospatial big data; natural cities; natural streets; Hållbar stadsutveckling; Sustainable Urban Development;

   Abstract : Geographic information science and systems face challenges related to understanding the instinctive heterogeneity of geographic space, since conventional geospatial analysis is mainly founded on Euclidean geometry and Gaussian statistics. This thesis adopts a new paradigm, based on fractal geometry and Paretian statistics for geospatial analysis. READ MORE

6. 4. Methods and Algorithms for Data-Intensive Computing : Streams, Graphs, and Geo-Distribution

   Author : Hooman Peiro Sajjad; Vladimir Vlassov; Keijo Heljanko; KTH; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; stream processing; geo-distributed infrastructure; edge computing; streaming graph; dynamic graph; Informations- och kommunikationsteknik; Information and Communication Technology; Datalogi; Computer Science;

   Abstract : Struggling with the volume and velocity of Big Data has attracted lots of interest towards stream processing paradigm, a paradigm in the area of data-intensive computing that provides methods and solutions to process data in motion. Today's Big Data includes geo-distributed data sources. READ MORE

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

   Author : Muhammad Anis Uddin Nasir; Sarunas Girdzijauskas; Marta Patino-Martinez; KTH; []
   Keywords : 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;

   Abstract : 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. READ MORE