Published Paper Details:

An increasing number of uses need the productive execution of nearest neighbor (NN) queries thankful by the properties of the spatial objects. Because of the significance of key-word hunt, mainly at the Internet, a widespread lot of these applications permit the purchaser to give a rundown of key phrases that the spatial objects (from this time forward alluded to simply as items) must include, in their portrayal or other pleasant. We targeted on multi-dimensional dataset in which each information factor has set of key phrases in function space allows for the development of latest gear to question and explore these multidimensional dataset. Here we observe nearest key-word set Queries on textual content rich multidimensional dataset. We recommend a brand new approach known as ProMiSH (Projection and Multi scale Hashing) that uses random projection and hash-primarily based index shape. Our experimental result shows that ProMiSH has Speedup over nation-of-art-tree-primarily based techniques