Successes in these studies included women with: 1  two totally blocked fallopian tubes, 2  one tube removed and the other blocked (decreasing the chance for success), 3  hydrosalpinx (tube blocked and filled with fluid), and.  mid-tube and distal blockage (challenging areas to treat surgically).
Data Rationalization is a powerful means to unlock and leverage semantics hidden in models, and to be able to find, identify, and leverage the data we need. Tying a formal ontology (e.g. stored in OWL) to model objects can help bridge the semantic divide between unstructured and structured data.
1 Data reduction: reducing the volume but producing the same or similar analytical results. 2  Data discretization: part of data reduction, replacing numerical attributes with nominal ones.ata reduction. 1  Reducing the number of attributes. 2  Data cube aggregation: applying roll-up, slice or dice operations. 3  Removing irrelevant attributes: attribute selection (filtering and wrapper methods), searching the attribute space (see Lecture 5: Attribute-oriented analysis).