Game Data Mining

Allison CC

Game analytics for everyone – and links to other great talks!

From the the 10th to the 12th of November I had the pleasure of attending the ninth annual Casual Connect Eastern Europe in Belgrade, Serbia, and the whole experience was a blast. It was the first time the conference was held in the beautiful Eastern European city. With over 1000 attendees from 51 different countries, [...]

Game Data Mining, Great Reads, Monetization

Playstyle and Progression

In this post Anders Drachen introduces some of the main challenges of finding patterns in how games are played and in how play styles change across levels. He also showcases some new research results which were obtained through a thorough analysis of Tomb Raider: Underworld.

Game Data Mining, Methods

Fun Facts about World of Warcraft Character Names

Anders Drachen reports from one of those rare events where a piece of analytics work was done purely to satisfy the curiosity of those involved, but ended up revealing surprising patterns about how we as players name our characters.

Game Data Mining
Tighten Games

Building tight games with game metrics (Part 3)

This is the third and last part of adding analytical insights to Daniel Cook’s blog post on “Building tight game systems of cause and effect”. If you missed the two first parts, you can access them through this link Part 1 and this other one Part 2 respectively.

Game Data Mining, Great Reads
Tighten Games

Building tight games with game metrics (Part 2)

Two weeks ago we started “metricifying” Daniel Cook’s, Chief Creative Officer at SpryFox, blog post on “Building tight game systems of cause and effect”. This week we begin part two of this game-analytical journey.

Game Data Mining, Great Reads
Tighten Games

Building tight games with game metrics (Part 1)

In July 2012 Daniel Cook, Chief Creative Officer at SpryFox, published a blog post about making games easy to understand and play, which he called “Building tight game systems of cause and effect”. Here are a number of game metrics ideas and suggestions inspired by the techniques described in that post.

Game Data Mining, Great Reads

Frequent itemset and association rule mining – or how to know if shirts follows pants or the other way around

Frequent itemset 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? Sequence analysis is used in a lot of different areas, and is also highly useful in games for finding behavioral patterns that lead to particular behaviors, for example a player quitting a game. Here is how it works.

Game Data Mining, Methods

Practical issues in game data mining

Apart from the purely methodological concerns that gains the most attention on this blog, 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. Here we take a brief look at some of them.

Fundamentals, Game Data Mining

Third Party Analytics: what are the options?

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. Here we provide a brief overview of the types of providers available and the pros/cons of their services.

Fundamentals, Game Data Mining

Metrics in online games: a historical perspective

Online games are of particular interest in game data mining because their underlying business model is highly dependent on understanding player behavior, and currently one of the major forces driving the use of and innovation in data mining in game development. In this post, we take a brief look at the historical background behind the current situation and discuss a few business perspectives.

Fundamentals, Game Data Mining

Know your players. Improve monetization. Make games people love.

Analytics for Game Developers

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