Our general KDT framework was initially presented in (Feldman and Dagan 1995). The current paper both extends the KDT framework and its set of operations, and presents our interactive prototype system, which was implemented in Visual Prolog under Microsoft MS-Windows (all subsequent figures are screen dumps of this system). The system’s mode of operation involves three major steps:
1. Load input documents, annotated with keywords selected from a pre-existing
hierarchy of meaningful category labels.
2. Compute the various co-occurrence frequencies of these keywords within the documents in the collection (typically performed as a pre-processing step).
3. Provide interactive tools that allow access to documents, discover patterns across documents, and perform other similar KDD operations, based on the co-occurrence frequencies computed in the previous step.
Previous Next
1. Load input documents, annotated with keywords selected from a pre-existing
hierarchy of meaningful category labels.
2. Compute the various co-occurrence frequencies of these keywords within the documents in the collection (typically performed as a pre-processing step).
3. Provide interactive tools that allow access to documents, discover patterns across documents, and perform other similar KDD operations, based on the co-occurrence frequencies computed in the previous step.
Previous Next
No comments:
Post a Comment