Search for dissertations about: "big data solution"

Showing result 1 - 5 of 34 swedish dissertations containing the words big data solution.

  2. 1. Programming and Optimization of Big-Data Applications on Heterogeneous Computing Systems

    Author : Suejb Memeti; Sabri Pllana; Jesper Andersson; Paweł Czarnul; Linnéuniversitetet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Big Data; Heterogeneous Parallel Computing; Software Optimization; Source-to-source Compilation; Data- och informationsvetenskap; Computer and Information Sciences Computer Science; Computer Science; Datavetenskap;

    Abstract : The next-generation sequencing instruments enable biological researchers to generate voluminous amounts of data. In the near future, it is projected that genomics will be the largest source of big-data. A major challenge of big data is the efficient analysis of very large data-sets. READ MORE

  4. 2. Performance Optimization Techniques and Tools for Data-Intensive Computation Platforms : An Overview of Performance Limitations in Big Data Systems and Proposed Optimizations

    Author : Vasiliki Kalavri; Vladimir Vlassov; Alberto Montresor; KTH; []
    Keywords : performance optimization; data-intensive computing; big data; Informations- och kommunikationsteknik; Information and Communication Technology;

    Abstract : Big data processing has recently gained a lot of attention both from academia and industry. The term refers to tools, methods, techniques and frameworks built to collect, store, process and analyze massive amounts of data. Big data can be structured, unstructured or semi-structured. READ MORE

  5. 3. Scalable Analysis of Large Datasets in Life Sciences

    Author : Laeeq Ahmed; Erwin Laure; Ola Spjuth; Ake Edlund; Vincent Breton; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Big Data; Apache Spark; Virtual Screening; EEG; Cloud Computing; Life Sciences; Machine Learning; Computer Science; Datalogi;

    Abstract : We are experiencing a deluge of data in all fields of scientific and business research, particularly in the life sciences, due to the development of better instrumentation and the rapid advancements that have occurred in information technology in recent times. There are major challenges when it comes to handling such large amounts of data. READ MORE

  6. 4. Privacy preserving behaviour learning for the IoT ecosystem

    Author : Sana Imtiaz; Vladimir Vlassov; Ramin Sadre; Sarunas Girdzijauskas; Omer Rana; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Internet of things; big data; privacy; smart health care; machine learning; synthetic data generation; generative adversarial networks; time-series data; distributed machine learning; Informations- och kommunikationsteknik; Information and Communication Technology;

    Abstract : IoT has enabled the creation of a multitude of personal applications and services for a better understanding and improvement of urban environments and our personal lives. These services are driven by the continuous collection and analysis of sensitive and private user data to provide personalised experiences. READ MORE

  7. 5. Artificial Intelligence-Based Characterization and Classification Methods for Power Quality Data Analytics

    Author : Azam Bagheri; Math Bollen; Surya Santoso; Luleå tekniska universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Power System; power Quality; Voltage Dip; Big Data; Deep Learning; Machine Learning; Active Learning; Consensus Contriol; Electric Power Engineering; Elkraftteknik;

    Abstract : One of the important developments in the electric power system is the fast increasing amount of data. An example of such data is formed by the voltages and currents coming from power-quality measurements. READ MORE