Hybrid SVD For Document Representation Using Different Vectorization

Abstract

Document Clustering is the process of segmenting a particular collection of text into subgroups. Nowadays all documents are in electronic form, because of the issue to retrieve relevant document from the large database. The goal is to transform text composed of daily language in a structured, database format. In this way, different documents are summarized and presented in a uniform manner. The challenging problem of document clustering are big volume, high dimensionality and complex semantics. The objective of this paper is mainly focused on clustering multi-sense word embeddings using three different algorithms(K-means, DBSCAN, CURE). Among these three algorithm CURE gives better accuracy and it can handle large databases efficiently.</p>

Cloud Deployed PHR Using ABE Scheme

“…Cryptography is solution to security and privacy issues in cloud but does not solve issues like privacy of data during data sharing. P. Parthasarathi, R. Gokul and etal (8) have proposed method to generate key to secure personal health record during data sharing. Health care system involves management of sensitive data of patients like security and sharing of information with different end users.…”

Intensify Assured PHR Sharing in Cloud Using Entropy Based Signature Cryptosystem

“…Existing PHRs (1) used attributed based encryption method (2) for storing in the cloud with various improvements in storing, searching, accessing of health records (5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16). Many encryption algorithms (18) and steganography algorithms (17) related to health care were studied along with its applications in adaptive learning (20)(21) and energy efficient in wireless networks (19).…”