Výsledky vyhledávání - "Nikunj Domadiya"

A Review on Transfer Learning and Generative Adversarial Networks for Classification of ALL

Publikováno v: 2022 6th International Conference on Electronics, Communication and Aerospace Technology.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::37206e4f824a91c1ccc40813af1a6539
https://doi.org/10.1109/iceca55336.2022.10009472

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Improving healthcare services using source anonymous scheme with privacy preserving distributed healthcare data collection and mining

Autor: Udai Pratap Rao, Nikunj Domadiya

Publikováno v: Computing. 103:155-177

The trends of data mining on healthcare data for improving medical services have increased because of the electronic healthcare record(EHR) system, which collects a massive amount of data on a daily basis. In the current scenario, hospital maintains

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7d830720b5f79d8f0bec0723d19912c5
https://doi.org/10.1007/s00607-020-00847-0

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Privacy Preserving Association Rule Mining on Distributed Healthcare Data: COVID-19 and Breast Cancer Case Study

Autor: Udai Pratap Rao, Nikunj Domadiya

Publikováno v: Sn Computer Science

Association rule mining can be used in healthcare data mining to provide solutions to life-threatening diseases like recent COVID-19. Due to healthcare data privacy concerns, privacy preserving distributed healthcare data mining becomes the primary f

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ecbc44039162dadb2feecc4b4d432e9
https://doi.org/10.1007/s42979-021-00801-7

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Privacy Preserving Distributed Association Rule Mining Approach on Vertically Partitioned Healthcare Data

Autor: Udai Pratap Rao, Nikunj Domadiya

Publikováno v: Procedia Computer Science. 148:303-312

The trends of data mining in the healthcare is increased due to the digitization of healthcare with electronic health record (EHR) systems. This generates a huge amount of data on daily basis. Data mining with the healthcare data has given the new di

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::77fde7d40fd8d64c514bfc5ceec6a871
https://doi.org/10.1016/j.procs.2019.01.023

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Privacy Preserving Approach for Association Rule Mining in Horizontally Partitioned Data using MFI and Shamir’s Secret Sharing

Autor: Nikunj Domadiya, Udai Pratap Rao

Publikováno v: ICIIS

Preserving privacy while collaboratively mining association rules has caught the attention of researchers due to privacy concern by collaborative participants. Existing public key based homomorphic encryption schemes achieve the privacy but increases

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::50c7acb38ed2716c757780e67f9f5d13
https://doi.org/10.1109/iciinfs.2018.8721388

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Privacy-preserving association rule mining for horizontally partitioned healthcare data: a case study on the heart diseases

Autor: Udai Pratap Rao, Nikunj Domadiya

Publikováno v: Sādhanā. 43

In recent years, a trend of electronic health record (EHR) system can be seen increasingly in the hospitals, which has generated huge amount of electronically stored data of patients. Association rule mining technique is very helpful in the numerous

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4fbd9e6464c644934e8973eae6801462
https://doi.org/10.1007/s12046-018-0916-9

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A Hybrid Technique for Hiding Sensitive Association Rules and Maintaining Database Quality

Autor: Nikunj Domadiya, Udai Pratap Rao

Publikováno v: Proceedings of First International Conference on Information and Communication Technology for Intelligent Systems: Volume 2 ISBN: 9783319309262

In this digital world, data mining is a decisive for innovation and better services for user, but it raises the issues about individual privacy. Privacy can be achieved by hiding sensitive or private information in database before publishing it for i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::dc7fa757e7ee55d1bbc7294ade5f8910
https://doi.org/10.1007/978-3-319-30927-9_35

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An Improved EMHS Algorithm for Privacy Preserving in Association Rule Mining on Horizontally Partitioned Database

Autor: Nikunj Domadiya, Rachit Adhvaryu

Publikováno v: Communications in Computer and Information Science ISBN: 9783662449653
SSCC

The advances of data mining techniques played an important role in many areas for various applications. In context of privacy and security issues, the problems caused by association rule mining technique are recently investigated. The misuse of this

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https://doi.org/10.1007/978-3-662-44966-0_26

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Hiding sensitive association rules to maintain privacy and data quality in database

Autor: Nikunj Domadiya, Udai Pratap Rao

Publikováno v: 2013 3rd IEEE International Advance Computing Conference (IACC).

In this paper, we propose a heuristic based algorithm named MDSRRC (Modified Decrease Support of R.H.S. item of Rule Clusters) to hide the sensitive association rules with multiple items in consequent (R.H.S) and antecedent (L.H.S). This algorithm ov

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::da35e7eec3d93b7e68f6944f7666e207
https://doi.org/10.1109/iadcc.2013.6514417

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