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Dr HUSSAIN SYED

vidwan id: 362863
Male

Associate Professor, School of Computer Science and Engineering
Vellore Institute of Technology (VIT-AP) University, Andhra Pradesh

Expertise

  • Computer Science Software Engineering

Publications

Total Articles 26
Books 0
Proceedings 0

Publications

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Scopus

Citations 185
h-index 7

CrossRef

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Citations 132
h-index 6
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Professional Recognition

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Community & Membership

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COMPUTER SOCIETY OF INDIA

2023
5 YEARS

Bio

Software Engineering, HCI, Data Analytics, Business Intelligence. I am a certified professional scrum master. courses like HCI, UI/UX design, Product Definition and Validation...etc handled.Passion Towards Teaching-Learning Process, Multilingual, Active, Interactive and Optimistic in Nature. Worked in MResult Corporation, Bangalore, have knowledge about MSBI-SSRS, Business objects, Cognos...etc

Personal Details

  • Male
  • Associate Professor , Vellore Institute of Technology (VIT-AP) University, Andhra Pradesh
  • Inavolu, Amaravati, Andhra Pradesh, India
PhD
Other Institute 2020
M.Tech
Other Institute 2010
B.E
Other Institute 2008
Associate Professor May 2017 – Present
Vellore Institute of Technology (VIT-AP) University, Andhra Pradesh | School of Computer Science and Engineering

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Co-Authors (7)

Anil

Dr Anil Kumar

Poornima Institute of Engineering & Technology, Jaipur

Jonnadula

Dr Jonnadula Harikiran

Vellore Institute of Technology (VIT-AP) University, Andhra Pradesh

Mohamed Iqbal

Dr Mohamed Iqbal M

Vellore Institute of Technology (VIT-AP) University, Andhra Pradesh

Nagaraju

Mr Nagaraju Jajam

SAI TIRUMALA NALABOTHU VENKATA RAO ENGINEERING COLLEGE

Y. V.

Dr Y. V. Pavan Kumar

Vellore Institute of Technology (VIT-AP) University, Andhra Pradesh

Prasanth

Dr Prasanth Yalla

Koneru Lakshmaiah Education Foundation, Guntur

E

Dr E Sivasankar

National Institute of Technology Tiruchirappalli

Scholarly Work

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Scholarly Publications

Fuzzy Clustering with Ensemble Classification Techniques to Improve the Customer Churn Prediction in Telecommunication Sector

Open Access
Book Chapter

A study of feature selection techniques for predicting customer retention in telecommunication sector

Open Access
Article

Improved churn prediction based on supervised and unsupervised hybrid data mining system

Open Access
Book Chapter

Computing efficient features using rough set theory combined with ensemble classification techniques to improve the customer churn prediction in telecommunication sector

Open Access
Article

AN ADVANCED COST AND SEARCH SPACE REDUCTION AND OPTIMIZED PATTERN GENERATION USING MAPREDUCE

Open Access
journal-article
Authors:

Customer segmentation by various clustering approaches and building an effective hybrid learning system on churn prediction dataset

Open Access
Conference Paper

A panoramic bayesian analogy based method for softwere project cost estimation

Open Access
Article

Data sharing with Security and Efficiency using Attribute Based SystemInternational Journal of Advanced Research in Computer and Communication Engineering

Open Access
journal-article
Authors: