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Machine Learning & Big Data Group

Machine learning algorithms are being used in lots of places in interesting ways. It's becoming increasingly ubiquitous with more and more applications in places where we cannot even think of. Resurging interest in machine learning is due to the same factors that have made data mining and Bayesian analysis more popular than ever. Things like growing volumes and varieties of available data, computational processing that is cheaper and more powerful, and affordable data storage.

Funtional Areas

  • Development of real world projects in groups.

  • Conduction of workshops for other students.

  • Organization of summer & winter programs.

  • Organization of Project exhibitions.

  • Quiz competitions

  • Development of dedicated website on machine learning contents.

  • Uploading of lecture videos on machine learning & content development.

  • Quality research publications

  • Submission of projects for funding

Mentor

 

​​The centre will be working under the technical supervision of Prof. (Dr) Shampa Chakraverty, Professor and Head, NSIT, New Delhi. Prof. Chakraverty is an expert in the field of machine learning & has made significant contributions in this domain area. 

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Following faculty members of IMS Engineering College are involved 

 

Dr. Pankaj Agarwal, Professor, CSE Dept, IMSEC.

PhD in computer Sc from Jamia Millia Islamia Central University with specialization in algorithms, softcomputing techniquies & Bioinformatics. More than 10 years of research expeience

 

Dr. Upasana Pandey, Associate Professor, CSE Dept, IMSEC.

Ph.D.in Computer Engineering (University of Delhi) in the area of Test mining & document classification

8 Years of research experience with

 

Mr. Vishan Gupta, Assistant Professor, CSE Dept, IMSEC.

Pursuing Ph.D from Thapar University in the area of Machine learning

 

Ms. Ruchika Yadav, Assistant Professor, CSE Dept, IMSEC.

​PhD in computer science & Engineering (Thesis Submitted) in the area of Data mining

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Proposed Projects for students

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  • Reducing the Cost of Big Data Analytics in the Cloud

  • Knowledge capturing and visualization from social bigdata

  • Email Spam Filtering

  • Mining Twitter, facebook Data

  • Applying Machine Learning to Stock Market Trading

  • Author Gender Identification of English Novels.

  • Analysis and Clustering of Musical Compositions using Melody-based Features

  • A Machine Learning Approach to Webpage Content Exraction

  • Automated Recommendation Systems: Collaborative Filtering through Recommendation

  • Activity Classification with Smartphone Data

  • Email Classification Using Feature Weighted K-means Clustering Algorithm

  • Activity Classification with Smartphone Data

  • Automatic Grouping for Social Networks

  • Classification of Hand-Written Numeric Digits.

  • Neural Networks for Email Classification Using Semantic Feature Space

  • Semantic Based Fuzzy Approach for Document Classification Using WordNet and Wikipedia

 

External Agencies as knowledge partners: IBM, Noida, U.P

@ Created by: Dr. Pankaj Agarwal

Department of Computer Science & Engineering

IMS Engineering College

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