Knowledge Discovery from Data (TKDD)


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ACM Transactions on Knowledge Discovery from Data (TKDD), Volume 1 Issue 2, August 2007

Extrapolation errors in linear model trees
Wei-Yin Loh, Chien-Wei Chen, Wei Zheng
Article No.: 6
DOI: 10.1145/1267066.1267067

Prediction errors from a linear model tend to be larger when extrapolation is involved, particularly when the model is wrong. This article considers the problem of extrapolation and interpolation errors when a linear model tree is used for...

Mining periodic patterns with gap requirement from sequences
Minghua Zhang, Ben Kao, David W. Cheung, Kevin Y. Yip
Article No.: 7
DOI: 10.1145/1267066.1267068

We study a problem of mining frequently occurring periodic patterns with a gap requirement from sequences. Given a character sequence S of length L and a pattern P of length l, we consider P a frequently...

Twain: Two-end association miner with precise frequent exhibition periods
Jen-Wei Huang, Bi-Ru Dai, Ming-Syan Chen
Article No.: 8
DOI: 10.1145/1267066.1267069

We investigate the general model of mining associations in a temporal database, where the exhibition periods of items are allowed to be different from one to another. The database is divided into partitions according to the time granularity...