• Nguyen Thi Thao Ho

    Assistant Professor, AAU

    Bio:
    Nguyen Ho is an Assistant Professor in the Department of Computer Science, Aalborg University, Denmark. She received her Ph.D. in Computer Science from Politecnico di Milano, Italy, in 2017. Her current research focuses on Big Data Analytics and, in particular, applies machine learning methods to extract patterns and insights from spatio-temporal multidimensional big data.

    Title of presentation:
    Finding Correlations in Massive Time Series

    Abstract of presentation:
    Recent advancements in IoT technology enable the collection of enormous amounts of time series data across different domains. The availability of these massive datasets offers opportunities to extract insights, uncover hidden patterns, and enable actionable optimizations. This talk will discuss an efficient framework to extract temporal correlations from such big time series datasets.
     

    Speaker for following sessions
    • Sankt Hans Torv & Nørrebros Runddel A
      01-12-2 -
      Organized by AAU

      Massive amounts of data is collected, for example from different types of sensors devices connected using Internet-of-things (IoT) technology or from monitoring of large-scale Internet services. Due to the massive amounts of data, much of it is unfortunately thrown away and not exploited today. The data needs to be collected, stored, queried, and analyzed on both edge and cloud platforms to solve important problems in many industrial domains, e.g., management of solar parks and wind parks to detect small variations or problems early.

      Program:
      Introduction and Scientific Talk: “Model-Based Storage and Management of Massive Sensor Time Series”, Christian Thomsen, Associate Professor, Dept. of Computer Science, Aalborg University
      Business Talk: “Communication and computation challenges from RES data”, George Konstantoulakis, CTO, INACCESS
      Business Talk: “What ModelarDB can do for your sensor data”, Christian Nygaard, CEO, ModelarData
      Scientific Talk: “Freshness on Demand in Real-Time IoT Systems”, Professor Petar Popovski, Dept. of Electronic Systems, Aalborg University
      Scientific Talk: “ByteSeries: an in-memory time series database for large-scale monitoring systems”, Professor Yongluan Zhou, Dept. of Computer Science, University of Copenhagen
      Scientific Talk: “Advanced data mining on big time series: correlation discovery and temporal pattern mining”, Assistant Professor Nguyen Thi Thao Ho, Dept. of Computer Science, Aalborg University

      Session coordinator: Christian Thomsen, Associate Professor, Dept. of Computer Science, Aalborg University
      Facilitator: Christian Thomsen, Associate Professor, Dept. of Computer Science, Aalborg University
      Managing and analyzing very large time series from IoT and sensors.
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