StarCraft Data Mining
People
Overview
The StarCraft Data Mining project is part of an effort to automatically aquire knowledge about expert RTS gameplay by mining thousands of professional StarCraft replays. By mining replays, it is possible to predict an opponent's strategy and also predict when the player will execute the strategy. The results of this project are presented in the publications section.
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Publications
- Ben Weber and Michael Mateas. A Data Mining Approach to Strategy Prediction, IEEE Symposium on Computational Intelligence in Games (CIG 2009), September 2009.
Downloads
We are providing the ARFF files generated by this project to encourage other researchers to perform player modeling. Each feature vector encodes an entire game. The features represent when a specific unit or building is first produced.
- Protoss vs. Protoss
- Protoss vs. Terran
- Protoss vs. Zerg
- Terran vs. Protoss
- Terran vs. Terran
- Terran vs. Zerg
- Zerg vs. Protoss
- Zerg vs. Terran
- Zerg vs. Zerg
Links