Abstract
The recent technology development fascinates the people towards information and its services. Managing the personal and pubic data is a perennial research topic among researchers. In particular retrieval of information gains more attention as it is important similar to data storing. Clustering based, similarity based, graph based information retrieval systems are evolved to reduce the issues in conventional information retrieval systems. Learning based information retrieval is the present trend and in particular deep neural network is widely adopted due to its retrieval performance. However, the similarity between the information has uncertainties due to its measuring procedures. Considering these issues also to improve the retrieval performance, a hybrid deep fuzzy hashing algorithm is introduced in this research work. Hashing efficiently retrieves the information based on mapping the similar information as correlated binary codes and this underlying information is trained using deep neural network and fuzzy logic to retrieve the necessary information from distributed cloud. Experimental results prove that the proposed model attains better retrieval accuracy and accuracy compared to conventional models such as support vector machine and deep neural network.
References
Jiaying Liu, Xiangjie Kong, Xinyu Zhou, Lei Wang, Da Zhang, Ivan Lee, Bo Xu, Feng Xia (2019). Data Mining and Information Retrieval in the 21st century: A bibliographic review. Computer Science Review, 34:1-15.
Yongjun Zhu, Erjia Yan, Il-Yeol Song (2017). A natural language interface to a graph-based bibliographic information retrieval system. Data & Knowledge Engineering, 111:73-89.
Sidali Hocine Farhi, Dalila Boughaci. Graph based model for information retrieval using a stochastic local search. Pattern Recognition Letters, 105:234-239.
Joby, P. P (2020). Expedient Information Retrieval System for Web Pages Using the Natural Language Modeling. Journal of Artificial Intelligence 2(02):100-110.
Andrei S. Kulunchakov, Vadim Strijov (2017). Generation of simple structured information retrieval functions by genetic algorithm without stagnation. Expert Systems with Applications, 85:221-230.
Deepanwita Datta, Shubham Varma, Ravindranath Chowdary, Sanjay K. Singh (2017). Multimodal Retrieval using Mutual Information based Textual Query Reformulation. Expert Systems with Applications,68: 81-92.
Stefania Marrara, Gabriella Pasi, Marco Viviani (2017). Aggregation operators in Information Retrieval. Fuzzy Sets and Systems, 324:3-19.
Hamid Khalifi, Abderrahim Elqadi, Youssef Ghanou (2018). Support Vector Machines for a new Hybrid Information Retrieval System. Procedia Computer Science, 127:139-145.
Youssef Chouni, Mohamed Erritali, Youness Madani, Hanane Ezzikouri (2019). Information retrieval system based semantique and big data. Procedia Computer Science, 151:1108-1113.
Jianchang Lai, Yi Mu, Fuchun Guo, Peng Jiang, Willy Susilo (2018). Privacy-enhanced attribute-based private information retrieval. Information Sciences, 454–455:275-291.
Razane Tajeddine, Oliver W. Gnilke, Salim El Rouayheb (2018). Private Information Retrieval from MDS Coded Data in Distributed Storage Systems. IEEE Transactions on Information Theory, 64(11): 7081-7093.
Heecheol Yang, Wonjae Shin,Jungwoo Lee (2018). Private Information Retrieval for Secure Distributed Storage Systems. IEEE Transactions on Information Forensics and Security, 13(12):2953-2964.
Youcef Djenouri, Asma Belhadi, Philippe Fournier-Viger, Jerry Chun-Wei Lin (2018). Fast and effective cluster-based information retrieval using frequent closed itemsets. Information Sciences, 453:154-167.
Massimo Melucci, Adriano Paggiaro (2019). Evaluation of information retrieval systems using structural equation modelling. Computer Science Review, 31:1-18.
Marco Angelini, Vanessa Fazzini, Nicola Ferro, Giuseppe Santucci, Gianmaria Silvello (2018). CLAIRE: A combinatorial visual analytics system for information retrieval evaluation. Information Processing & Management, 54(6):1077-1100.
Saravana Kumar.C.S, Santhosh.R (2020). Effective information retrieval and feature minimization technique for semantic web data. Computers & Electrical Engineering, 81:1-13.
Ruixiang Ou, Yao Huang, Feng Pan, Hui Pan (2019). Research on information retrieval model under scarcity theory and user cognition. Computers & Electrical Engineering, 76:353-363.
Raj, Jennifer S (2019). Efficient Information Maintenance Using Computational Intelligence in The Multi-Cloud Architecture. Journal of Soft Computing Paradigm (JSCP),1(02):113-124.