The web log data embed much of web users' browsing behavior. From the web logs, one can discover patterns that predict the users' future requests based on their current b...
We present a new approach to extracting information from unstructured documents based on an application ontology that describes a domain of interest. Starting with such an ontolog...
David W. Embley, Douglas M. Campbell, Randy D. Smi...
Existing association rule mining algorithms suffer from many problems when mining massive transactional datasets. Some of these major problems are: (1) the repetitive I/O disk sca...
We propose a new model for unsupervised POS tagging based on linguistic distinctions between open and closed-class items. Exploiting notions from current linguistic theory, the sy...
Abstract. With the development of e-commerce and information access, a large amount of information can be found online, which makes a good recommendation service to be urgently nec...