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Dr Hemant Kumar Soni

vidwan id: 300275
Male

Head, Department of Computer Science and Engineering
Amity University, Gwalior

Expertise

  • Computer Science Information Systems

Publications

Total Articles 16
Books 0
Proceedings 0

Publications

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Scopus

Citations 169
h-index 5

CrossRef

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Citations 142
h-index 5
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Bio

Computer Science and Engineering

Personal Details

  • Male
  • Head , Amity University, Gwalior
  • Department of Computer Science and Engineerin,Amity University,Gwalior
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Head Jan 2014 – Present
Amity University, Gwalior | Department of Computer Science and Engineering

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Organisations (198+)

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Co-Authors (5)

Arvind

Dr Arvind Upadhyay

Amity University, Gwalior

Sanjiv

Dr Sanjiv Sharma

Madhav Institute of Technology & Science, Gwalior

Priya

Ms Priya Nagargoje

Gramaudyogik Shikshan Mandal`s Maharashtra Institute of Technology, Aurangabad

Ravi Kanth

Dr Ravi Kanth Gera

Gandhi Institute of Technology and Management

SHIVPRAKASH

Dr SHIVPRAKASH BARVE

Dr. Vishwanath Karad Mit World Peace University

Scholarly Work

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Scholarly Publications

Climatic and Design Parameters Effects on the Productivity of Solar Stills: A Review

Open Access
journal-article

Plausible characteristics of association rule mining algorithms for e-commerce

Open Access
Conference Paper
Authors: Soni H.;Sharma S.;Jain M.

A comprehensive survey of data mining techniques on time series data for rainfall prediction

Open Access
Article

Development of Data Acquisition Algorithm for Spectrometer for Fluorescence Applications

Open Access
journal-article
Authors:

Multi-objective Association Rule Mining using Evolutionary Algorithm

Open Access
journal-article
Authors: Hemant Kumar Soni .,

Two Novel Pioneer Objectives of Association Rule Mining for high and low correlation of 2-varibales and 3-variables

Open Access
journal-article
Authors: Hemant Kumar Soni ., Sanjiv Sharma ., Upadhyay A.K .,

Frequent pattern generation algorithms for Association Rule Mining : Strength and challenges

Open Access
Conference Paper

A comparative study of tree-based and apriori-based approaches for incremental data mining

Open Access
Article