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Connect-4 Data Set

Below are papers that cite this data set, with context shown. Papers were automatically harvested and associated with this data set, in collaboration with Rexa.info.

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Alan Burton and Paul H J Kelly. Performance Prediction of Paging Workloads Using Lightweight Tracing. IPDPS. 2003.

set and a set of pre-defined classes, C4.5 [11] attempts to generate a function which maps the data items in a database into the predefined classes, by constructing an optimal decision tree. The data set used in these experiments was the Connect-4 Opening Database' [9]. # mSQL. This experiment involved running part of the AS 3 AP[13] SQL benchmark on version 2.0.3 of mSQL[6], a lightweight database


Shi Zhong and Weiyu Tang and Taghi M. Khoshgoftaar. Boosted Noise Filters for Identifying Mislabeled Data. Department of Computer Science and Engineering Florida Atlantic University.

Recall Precision BF BBF-1 BBF-12 0 0.2 0.4 0.6 0.8 1 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 40% noise Recall Precision BFBBF-3 BBF-36 (e) (f) Figure 5. Noise detection results on the connect-4 dataset with six different noise levels: (a) 5%; (b) 10%; (c) 15%; (d) 25%; (e) 35%; and (f) 40%. 0 0.2 0.4 0.6 0.8 1 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 5% noise Recall Precision BF BBF-2 BBF-21 0 0.2


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