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Frequent item-set mining is an interesting branch of data mining that focuses on looking at sequences of actions or events, for example the order in which we get dressed. Shirt first? Pants first? Socks second item, or second shirt if wintertime?Read more »
There are a range of important issues to consider when planning to or performing collection of game telemetry and mining of this type of data. For example, confidentiality of user data and effective pre-processing approaches are among the most important.Read more »
Outside the companies that actually develop computer games and other forms of interactive entertainment, a rapidly increasing number of third-parties have emerged in the past few years to provide analytics-related services to companies.Read more »
"The solution I heard mentioned most often was: track everything, analyze everything. However, this approach is not without its problems, notably in terms of the resources it requires to analyze everything."Read more »
Telemetry one of the fundamental terms in game analytics, describing the collection of data over a distance. The collection, analysis and reporting of user-behaviour telemetry is the foundation for current analytics in game development.Read more »
Online games are of particular interest in game data mining because their underlying business model is highly dependent on understanding player behaviour, and currently one of the major forces driving the use of and innovation in data mining in game development.Read more »
Gameplay metrics form the "bread and butter" telemetry data when evaluating design. These are the metrics that describe how people actually play games. But how do you work with them?Read more »