All Outputs (3)

A novel symbolization technique for time-series outlier detection (2015)
Conference Proceeding
Smith, G., & Goulding, J. (2015). A novel symbolization technique for time-series outlier detection. In 2015 IEEE International Conference on Big Data (Big Data). https://doi.org/10.1109/BigData.2015.7364037

The detection of outliers in time series data is a core component of many data-mining applications and broadly applied in industrial applications. In large data sets algorithms that are efficient in both time and space are required. One area where sp... Read More about A novel symbolization technique for time-series outlier detection.

AMP: a new time-frequency feature extraction method for intermittent time-series data (2015)
Conference Proceeding
Barrack, D. S., Goulding, J., Hopcraft, K., Preston, S., & Smith, G. (2015). AMP: a new time-frequency feature extraction method for intermittent time-series data.

The characterisation of time-series data via their most salient features is extremely important in a range of machine learning task, not least of all with regards to classification and clustering. While there exist many feature extraction techniques... Read More about AMP: a new time-frequency feature extraction method for intermittent time-series data.

Ethics considerations for Corpus Linguistic studies using internet resources (2015)
Conference Proceeding
Koene, A., Adolphs, S., Perez, E., Carter, C. J., Statache, R., O'Malley, C., …McAuley, D. (2015). Ethics considerations for Corpus Linguistic studies using internet resources. In Corpus Linguistics 2015: abstract book (204-206)

With the rising popularity of public and semi-public communication channels such as Blogs (late 1990s), Wikipedia (launched in 2001), Facebook (launched in 2004), Reddit (from 2005) and Twitter (from 2006), the Internet has become an increasingly fer... Read More about Ethics considerations for Corpus Linguistic studies using internet resources.