Finding Top-k Answers in keyword search over Relational databases using tuple units
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10000 in stock
SupportDescription
Tuples are mined as a Steiner trees when probing keywords in affiliated databases. The Steiner trees ascertain tuples based on structural relationship among tuples. Probing abundance is amended by projecting tuple units into indexed structural relationship. In extant concern are answered by isolated tuple unit but in abundant compact a diversified Tuple unit are used for answering concern which associate false negative. A contemporary procedure is intended to assimilate diversify Tuple unit to answer a Keyword concern. The Single-Keyword-based-structure-aware Index and Keyword-pair-based-structure-aware index which is peculiar guide and the structural relationship among tuple unit as indexes is assimilated to accomplish ambiguous attainment. Indexes are used to recognize unified tuple units effectually. The Top-k answers are recognized by using ranking procedure and invention. The competency and affirmative outcome of our procedure is obtained by implementing in real world database and our method is considerably better than state-of-art procedure.
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