Data Extraction Based on Multi Dimensional Data Attributes Using Top-K Results

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Provided by: International Journal for Development of Computer Science & Technology (IJDCST)
Topic: Big Data
Format: PDF
Operations involving the system searching the XML repositories on the fly as the user types in query keywords for producing results. Faster querying and results generation is the vital aspect of using XML storages. Prior systems used LCA-based (Lowest Common Ancestors) algorithms for implementing fuzzy type-ahead search and minimal-cost tree based techniques for top-k results over xml data. Minimal-cost tree based approaches are efficient as long as the query keywords are singular or dual utmost.
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