The Fourth SIAM International Conference on Data Mining continues the tradition of providing an open forum for the presentation and discussion of innovative algorithms as well as novel applications of data mining. This is reflected in the talks by the four keynote speakers who discuss data usability issues in systems for data mining in science and engineering, issues raised by new technologies that generate biological data, ways to find complex structured patterns in linked data, and advances in Bayesian inference techniques. This proceedings includes 61 research papers.Suppose we obtain a potential training text fragment of model number aquot; PANASONIC DVDCV52a#39; and a particular previously collected item content aquot;PAN ... Users could optionally scrutinize the discovered training examples to improve the quality of the training examples. However, in our experiments, we did not conduct manual intervention and the adaptation was conducted in a fully automatic way.
|Title||:||Proceedings of the Fourth SIAM International Conference on Data Mining|
|Author||:||Michael W. Berry|
|Publisher||:||SIAM - 2004-01-01|