A Hash-Based Approach for Document Retrieval by Utilizing Term Features

被引：1

作者：

Gupta, Rajeev Kumar ^{[1
]}

Patel, Durga ^{[2
]}

Bramhe, Ankit ^{[1
]}

机构：

[1] Sagar Inst Sci & Technol, Dept CSE, Bhopal 462036, Madhya Pradesh, India

[2] Rajiv Gandhi Proudyogiki Vishwavidyalaya, Dept CSE, Bhopal 462036, Madhya Pradesh, India

来源：

COMPUTATIONAL INTELLIGENCE IN DATA MINING | 2019年 / 711卷

关键词：

Information retrieval; Text feature; Text mining; Text ontology; Digital data; Feature selection;

D O I：

10.1007/978-981-10-8055-5_55

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Digital data increase on servers with time which resulted in different researchers focusing on this field. Various issues are arising on the server such as data handling, security, maintenance, etc. In this paper, an approach for the document retrieval is proposed which efficiently fetches the document according to the query which is given by user. Here hash-based indexing of the dataset document was done by utilizing term features. In order to provide privacy for the terms, each of this is identified by a unique number and each document has its hash index key for identification. Experiment was done on real and artificial dataset. Results show that NDCG, precision, and recall parameter of the work are better as compared to previous work on different size of datasets.

引用

页码：617 / 627

页数：11