Data Science

Data Science aims to extract information from vast volumes of data, and apply this knowledge to find patterns of behaviour, predict outcomes, and solve problems. It uses tools from several disciplines including machine learning, mathematical modelling, and statistics.

It has gained popularity over the years, as it can be extremely valuable in terms of business growth (data about potential customers, prediction of sales), and as a service provider (storage of research data, healthcare information from patients, etc).

This collection curates research focused on all disciplines related to Data science, their approaches and uses. Topics include:

• Big data
• Data analysis
• Data processing
• Data mining
• Data exchange
• Natural Language Processing
• Business Intelligence

Also discover the related collection:

• Cloud-based technologies

This Collection includes a Research Spotlight on the article: "Internet of Things Workload Emulation for Data Centers" and you can read our blog post on the topic here.

Collection advisors: Geir Horn (University of Oslo, Norway)