Baker S. G.'s A sensitivity analysis for nonrandomly missing categorical PDF

By Baker S. G.

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The main file structure for storing the index data is as follows: where scx consists of OSPIDER and ord, element_name is the tag name, and add_infor is additional information including an element or attribute indicator and a pointer to data. startPos. We compared our method with the method Stack-Tree-Desc in [12] and PathStack in [13]. Both of the algorithms use the tuple (docID, startPos, endPos, nodeLevel) to present an XML element. Stack-Tree-Desc has the highest performance among the four methods described in [12], where stacks are used to reduce the number of match tests for the pairs of elements from the joined candidate sets in structural joins.

We will describe the application of VirtualJoin to the processing of queries of the basic path-predicate, complex path-predicate, and twig types. First, we briefly describe several basic functions used by VirtualJoin. Detailed descriptions of the functions can be found in [20]. XML Query Processing Using a Schema-Based Numbering Scheme 29 findParentSidAndTag determines the tag name and sid of the parent node of a given node. The function calls the functions parentSID and namelD to compute the sid of the parent node and PCTAGID of the pair of these parentchild nodes.

Diao et al. 1 The usefulness of such memoization, however, is limited by the stringent requirement of identical binary representations. To expand the scope for XQuery memoization, we would like to establish equivalence relationships between expressions and between variable bindings, so that ample reuse of the computed results is possible. To this end, we relax the conditions for the application of memoization along two dimensions: (1) when two XQuery data model instances can be determined to be equivalent; and (2) when two XQuery expressions can be determined to be equivalent.

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A sensitivity analysis for nonrandomly missing categorical data arising from a national health disab by Baker S. G.

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