Manan Choksi is an undergraduate honours student under the supervision of Athman Bouguettaya at The University of Sydney. He is currently in the 4th year of his Bachelor of Advanced Computing degree and is interested in machine learning. Manan enjoys playing basketball in his spare time.
Pattern Mining for IoT Service Usage
Internet of Things (IoT) is fast becoming a pervasive universal computing network where everything and everyone is connected to the Internet. IoT technology is the key ingredient for smart environments such as smart homes, smart campuses, and smart cities. The objective of a smart environment is to provide its users convenience and efficiency. In a smart environment, people interact with IoT devices for various purposes. Understanding their IoT usage behavior is an essential step for providing convenient and comfortable services. We will use smart plugs, motion sensors, and indoor environment sensors to record the service interactions of the people in a smart environment. The project aims to build a service usage pattern model that mines peoples’ service interaction records by applying data mining techniques. The proposed model will focus on discovering and structuring insightful patterns using association rule mining algorithms, clustering algorithms, and classification algorithms.
- You Are What You Use: Usage-based Profiling in IoT Environments. Manan Choksi, Dipankar Chaki, Abdallah Lakhdari, and Athman Bouguettaya. UbiComp 2022, Virtual, Poster paper.