By Robert J. Hilderman,Howard J. Hamilton
ISBN-10: 0792375076
ISBN-13: 9780792375074
ISBN-10: 1441949135
ISBN-13: 9781441949134
In Knowledge Discovery and Measures of Interest, we learn heavily comparable steps in any wisdom discovery procedure: the iteration of came across wisdom; and the translation and evaluate of chanced on wisdom. within the new release step, we examine info summarization, the place a unmarried dataset might be generalized in lots of other ways and to many alternative degrees of granularity in accordance to area generalization graphs. within the interpretation and review step, we examine variety measures as heuristics for rating the interestingness of the summaries generated.
the target of this paintings is to introduce and evaluation a method for score the interestingness of chanced on styles in facts. It contains 4 basic goals:
- To introduce area generalization graphs for describing and guiding the new release of summaries from databases.
- To introduce and evaluation serial and parallel algorithms that traverse the area generalization area defined through the area generalization graphs.
- To introduce and overview variety measures as heuristic measures of interestingness for rating summaries generated from databases.
- To boost the initial starting place for a idea of interestingness in the context of score summaries generated from databases.
Knowledge Discovery and Measures of Interest is appropriate as a secondary textual content in a graduate point direction and as a reference for researchers and practitioners in industry.
Read Online or Download Knowledge Discovery and Measures of Interest (The Springer International Series in Engineering and Computer Science) PDF
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Knowledge Discovery and Measures of Interest (The Springer International Series in Engineering and Computer Science) by Robert J. Hilderman,Howard J. Hamilton
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