Real-time big data analytics for Internet of Things (IoT)
Project Leader: Marimuthu Palaniswami
Primary Contact: Marimuthu Palaniswami (email@example.com)
Keywords: artificial intelligence; machine learning; sensor fusion; sustainable cities
Disciplines: Electrical & Electronic Engineering
Research Centre: ARC Research Network on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)
The Internet of Things (IoT) creates a network infrastructure that enables a wide range of physical objects and environments to be monitored in fine spatial and temporal detail. IoT applications that model and interpret the large volumes of complex data streams, the so-called “Big Data”, generated from sensors, video networks and social activities provides a basis for new business and government applications in areas such as retail chains, transport logistics and public safety. Currently, the key challenge lies in the ability to automate the timely interpretation of this data. Manual inspection of this data is impractical due to large volume of data and time consuming. This project aims to discover the hidden relationships in heterogeneous Big Data by revealing deep structures in data streams – clustering to identify natural groupings of objects in the Big Data where no ground truths are available.