In the performance evaluation, depending on whether spatio-temporal query aggregation is applied or not, the case with spatio-temporal query aggregation and the case without it are compared while queries were generated with different types of distribution: uniform, Gauss, and skew distributions.
In terms of query processing time, the case applying spatio-temporal aggregation produces an improved performance by average of 4% with a uniform distribution, 22% with a Gauss distribution, and 10% with a skew distribution.
The node within the network will generate a query and send it to the all the nodes to induce a desired value [9].
The query kind query provision node have {a query question |a question} id and therefore the id of the query provision node (Qid, Nid) the query goes to nearby node and this node can include its score price and its identification (SVi,, Nid).
Of
query efficiency index used to jump to turn the number (hop) to measure, that is, find the results for each number of jumps.
Multiple new semantic and lexical features to estimate the relevance between expanded
query and documents
A secure and efficient range
query processing scheme is proposed in [6], called SafeQ.
When enterprise search receives a user-entered
query, it must first determine the user's need and intent, which often can be seen from the
query type.