Abstract
In the field of data mining, the social network is one of the complex systems that poses significant challenges in this area. Time series anomaly detection is one of the critical applications. Recent developments in the quantitative analysis of social networks, based largely on graph theory, have been successfully used in various types of time series data. In this survey paper, we review the studies on graph theory to investigate and analyze time series social networks data including different efficient and scalable experimental modalities. We provide some applications, challenging issues and existing methods for time series anomaly detection.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 1st International conference on machine learning and data engineering (iCMLDE2017) |
| Publisher | Global Circle for Scientific, Technological and Management Research |
| Pages | 21-28 |
| Number of pages | 8 |
| ISBN (Electronic) | 9780648014737 |
| Publication status | Published - 2017 |
| Event | 1st International Conference on Machine Learning and Data Engineering: iCMLDE 2017 - Western Sydney University, Parramatta, Sydney, Australia Duration: 20 Nov 2017 → 22 Nov 2017 http://2017.icmlde.net.au/Home.aspx (Conference website) http://2017.icmlde.net.au/Proceedings.aspx (Conference proceedings) |
Conference
| Conference | 1st International Conference on Machine Learning and Data Engineering |
|---|---|
| Country/Territory | Australia |
| City | Parramatta, Sydney |
| Period | 20/11/17 → 22/11/17 |
| Other | 1st International Conference on Machine Learning and Data Engineering, Sydney, 2017 (iCMLDE 2017) will bring international and national experts in Artificial Intelligence, Computer Vision, Machine Learning and Data Engineering researcher to Sydney to present and share their latest research and practice. iCMLDE 2017 will be held in Sydney, which is one of the largest cities in Australia. The conference is supported by Global Circle for Scientific, Technological and Management Research (GCSTMR) and Science, Technology and Management Crest, Australia (STAMCA). GCSTMR endeavors to create a platform for young researchers to exchange ideas and share information with experts in their respective fields. GCSTMR encourages and facilitates trans-national collaborations among its members and associates in research, training and professional activities. Multidisciplinary international conference series run by GCSTMR open vast opportunities for researchers to interact on the global platform and take advantage of knowledge sharing in the digital arena. iCMLDE 2017 will be held at Western Sydney University’s Parramatta campus, which is situated 20km from the Sydney CBD and is well connected by rail, road and ferry networks. The traditional landmarks of Sydney including Sydney Harbour, Sydney Opera House and Harbour Bridge are within easy reach of the conference venue as is the Blue Mountains World Heritage National Park. |
| Internet address |
|