Time-Series of Information Technology Operating Analytics Part 4

Time Series Data Analysis & Information Technology Operating Analytics

In Time Series for Information Technology Operating Analytics part 4 blog, as the last blog of the Series, I will showcase in detail the anomaly algorithms I have used to develop my research, the results I have obtained and my suggestions for further research. First of all, let’s have a review of this series so […]

Multivariate Time Series Clustering

This Multivariate Time Series Clustering project follows the development of a Long Short-Term Memory (LSTM), as part of T-DAB’s Innovation Sandbox, to predict the rudder movements that a sailor would make during a race.  If you’re familiar with The Innovation Sandbox and the Jack Trigger Racing (JTR) Project, you’ll be familiar with the development, where we’ve outlined the technical challenges and how, depending on the conditions, a sailor wouldn’t always sail the boat in […]

Time-Series of Information Technology Operating Analytics Part 3

Time Series Data Analysis & Information Technology Operating Analytics

In Part 3 of the Time-Series of Information Technology Operating Analytics article series, I have included the literature used and the current trial experiments. As I have learned a lot about different approaches to anomaly detection in time series, whilst researching for a good source that would showcase and analyze components of time-series data, I […]

Text Summarisation Part 2

natural language processing for automatic text summarization

In this Text Summarisation Part 2 article, I wanted to follow up on my recently published Part 1  on automatic text summarization, the field of NLP concerned with using computers to summarize documents automatically without any human involvement. I undertook this project for my MSc thesis and this first article gave the preliminary background and […]

Time-series of Information Technology Operating Analytics – Part 2

Time Series Data Analysis & Information Technology Operating Analytics

In the Time-series of Information Technology Operating Analytics – Part 2 we will explore anomaly detection and the role this had on my research and future articles. Anomaly detection, also known as outlier analysis, is a branch of data mining. This technique learns from a large scale of datasets and identifies data points, events, and […]

Time-series of Information Technology Operating Analytics

Time Series Data Analysis & Information Technology Operating Analytics

With the time-series of information technology operating analytics blog series, I wanted to introduce you to time-series and its use in information technology operating analytics. This series of blogs describe my work on my postgraduate thesis using statistical and machine learning techniques to apply anomaly detection into Information Technology Operating Analytics (ITOA) time-series data, so that […]

T-DAB Lab: Innovation Sandbox

innovation-sandbox-tdab-lab

In the fast-moving multidisciplinary field of commercial data science and engineering, staying abreast and ahead of rapid technological change is key. T-DAB’s mission is to deliver cutting edge solutions incorporating the latest developments in machine and deep learning, and data engineering. Research and Application T-DAB bridges the gap between research and application. Our philosophy is […]