Seema Maitrey

@kiet.edu

Associate Professor and Computer Science and Engineering
KIET Group of Institutions, Ghaziabad

Seema Maitrey


                        Download Compact PDF  
https://researchid.co/seemamaitrey

EDUCATION

Phd(CSE) from Banasthali Vidypith, Rajasthan

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Science, Multidisciplinary, Information Systems and Management, Computer Engineering
11

Scopus Publications

272

Scholar Citations

7

Scholar h-index

6

Scholar i10-index

Scopus Publications

  • Smart Parking Solutions: Redefining Urban Mobility
    Sahib Singh, Deepti Singh, Saumya Sinha, Vanshika Jaiswal, Seema Maitrey
    2025 International Conference on Networks and Cryptology Netcrypt 2025, 2025
  • Artificially developed intelligent system using Python
    Dilkeshwar Pandey, Seema Maitrey, Deepti Seth
    Aip Conference Proceedings, 2022
  • Predicting Covid-19 by Referring Three Supervised ML Algorithms: A Comparative Study using WEKA
    Kajal Kansal, Seema Maitrey
    Proceedings International Conference on Applied Artificial Intelligence and Computing Icaaic 2022, 2022
    Early disease detection plays a crucial role in preventing the spread of a life threatening disease. COVID-19, a contagious disease that has mutated into several strains, has now become a global pandemic by necessitating the need to implement immediate disease diagnosis and detection. As technology advances, the quantity of information available about COVID-19 increases day by day, and further the data mining process can be utilized to extract the important information from huge amounts of data. Multiple supervised ML approaches were utilized to create a model for assessing and predicting the existence of COVID-19 by using the Kaggle dataset. WEKA was used to implement the J48 Decision Tree, Random Forest, and Naive Bayes algorithms. The performance of each and every model is then compared by using ten-fold cross validation with important accuracy measures, such as properly or erroneously categorized examples, Kappa Statistics, Mean Absolute Error (MAE), and time spent in developing the model. The resultant research findings conclude that the Random Forest [RF] algorithm outperforms other methods by providing a mean absolute error of 0.022 and accuracy of about 98.81 %.
  • Emergence of 30 AI Based Solutions to Tackle COVID-19 in India: Are These Tools Helpful or Not?
    Kajal Kansal, Seema Maitrey
    2021 5th International Conference on Information Systems and Computer Networks Iscon 2021, 2021
    Digital technology has gained a great eminence in the healthcare sector of India, with involvement of both public and private sectors and has undergone a drastic change to deal with the situation of covid-19 pandemic. With this, scope of digitally driven healthcare solutions gets widened and technologies such as ML, VR, AR, AI etc. emerges as a significant option. As per the report of PWC, India accounts highest use of Artificial Intelligence(AI) technology in the difficult times of covid-19 and around 73% of healthcare and pharma companies had adopted AI. This paper focuses specifically on technology of AI which provides many features such as Access improvement, quality care, better information, better outcomes, enhanced information flow etc. AI and its associated solutions have proven to be a boon in tackling the Covid-19 situation. This paper presents at a glance, a list of 30 AI based solutions formulated in order to combat the situation of covid-19 pandemic. This paper helps the future researchers to analyze the purpose and features of existing AI solutions for covid-19.Thus encourage the research community to invest in the field of AI.
  • Handling Structured Data Using Data Mining Clustering Techniques
    Seema Maitrey, C. K. Jha
    IEEE International Conference on Issues and Challenges in Intelligent Computing Techniques Icict 2019, 2019
    In the new era, every organization has the capability to store the extremely large amount of data. The continuous rise in the capturing of data is turning it into a huge tomb of data. Such huge data is becoming difficult to get analysed. This constantly growing large data set is making the challenge to the researchers in discovering knowledge from it. Valuable information is buried under the huge collection of data which can be extracted by making the use of Data Mining technique, as it possess the ability to dig out the embedded precious information from the large datasets. Various application areas required this technique, thus, resulted into an evolution of many data mining methods. Though several data mining methods get evolved not all of them were capable to deal with high voluminous data. Numerous computation and data- intensive scientific data analyses are established to compete with the ongoing time. As today’s data has got converted to Big data, it now require large-scale data mining analyses to fulfil its scalability and performance requirements. To serve such data, several efficient parallel and concurrent algorithms got applied. The parallel algorithms used different parallelization techniques to manage the huge voluminous data and brought them into real action. Formerly, these techniques were : threads, MPI etc. which produce different performance and usability characteristics. The MPI model was efficient in computing rigorous problems but difficult to bring them into the practical use. Over coming years, Data mining is continuously spreading its root in business and in learning organizations. The new integrated clustering algorithm called CURE became more vigorous to outliers and recognizes those clusters that were having irregular shapes and are of variant size. CURE is formed with the combined features of random sampling and partitioning which assured that the quality of output clusters produced by it is much improved with respect to those clusters that are resulted from the prior algorithms. This paper put focus on CURE clustering technique which found suitable for working with large databases.
  • Prevailing approaches and PCURE for data retrieval from large databases
    Seema Maitrey, C. K. Jha, Poonam Rana
    Lecture Notes in Networks and Systems, 2019
  • Analysis of security techniques and issues in Data Warehouse
    Parul Phoghat, Seema Maitrey
    Proceedings on 2015 1st International Conference on Next Generation Computing Technologies Ngct 2015, 2016
    The importance of data warehouses in organizations has grown increasingly during this decade, and today they constitute one of the main trends for the development of information technology. Data warehouse system consolidates large data from multiple different sources and these are used by decision makers to analyze the status and the development of an organization. Data warehouses are becoming very vital and beneficial for many types of strategic decisions. Data Warehouse stores large amount of valuable data so it is very important to set a security, from primary stages of data warehouse design so that data must be secured in an effective fashion. Significance of security, security approaches and their issues have been provided in this paper.
  • Implementation of enhanced load balancing algorithm in cloud computing using virtualization
    International Journal of Control Theory and Applications, 2016
  • Handling big data efficiently by using map reduce technique
    Seema Maitrey, C.K. Jha
    Proceedings 2015 IEEE International Conference on Computational Intelligence and Communication Technology Cict 2015, 2015
    Extremely large amount of data is being captured by today's organizations and is continue to increase. It becomes computationally inefficient to analyze such huge data. Researchers has addressed problem in discovering knowledge from these continuously growing large data sets. Quantity of available raw data has been increasing at a very high rate. The precious information is concealed in large databases. Data mining has become an interesting area to extract the embedded precious information from them. For many years it has been found its root in all kinds of application areas. Thus, gave evolution to many data mining methods which started to get applied in several real life fields. But not all the methods possess the capability to deal with and handle the huge collection of data. In recent years, numbers of computation and data intensive scientific data analyses are established. To perform the large scale data mining analyses so as to meet the scalability and performance requirements of big data, several efficient parallel and concurrent algorithms got applied. A lot of parallel algorithms are put into action using different parallelization techniques, such as-threads, MPI, MapReduce etc. Which yield different performance and usability characteristics. The MPI model works efficiently in computing rigorous problems but it is a complicated task to bring this model into the practical use. There is currently considerable enthusiasm around the MapReduce paradigm for large-scale data analysis. It is inspired by functional programming which allows expressing distributed computations on massive amounts of data. It is designed for large-scale data processing as it allows to run on clusters of commodity hardware. A prominent parallel data processing tool MapReduce is gaining significant momentum from both industry and academia as the volume of data to analyze grows rapidly. In this paper, we are going to work around MapReduce, its advantages, disadvantages and how it can be used in integration with other technology.
  • MapReduce: Simplified Data Analysis of Big Data
    Seema Maitrey, C.K. Jha
    Procedia Computer Science, 2015
  • Comparative analysis of Pattern Matching methodologies
    Seema Maitrey, C.K. Jhaa, Poonam Ranab
    Proceedings of the 2014 International Conference on Issues and Challenges in Intelligent Computing Techniques Icict 2014, 2014

RECENT SCHOLAR PUBLICATIONS

  • ICETISD-2025 1 Tourism Itinerary Generation Based on Image Similarity
    SM Rovince Gangwar, Yash Goswami, Moh. Uzair Khan
    International Conference on Engineering and Technological Innovation for … , 2025
    2025
  • Smart Parking Solutions: Redefining Urban Mobility
    SM Sahib Singh, Deepti Singh, Saumya Sinha, Vanshika Jaiswal
    IEEE Conference: 2025 , 2025
    2025
  • ANALYZING NATIONAL ECONOMY'S REACTION DUE TO DIGITAL TRANSFORMATION: A COMPARATIVE ANALYSIS OF INDIA’S TECHNOLOGICAL ADOPTION AND ECONOMIC POLICIES.
    A Soyal, R Mishra, D Seth, S Mital, S Maitrey
    International Journal of Central Banking 20 (1), 739-744 , 2024
    2024
  • A COMPREHENSIVE OVERVIEW OF NEURAL NETWORK-BASED OPTIMIZATION STRATEGIES IN THE DRAWING PROCESS
    A Rashmi Mishra, Deepti Seth, Paramanand Sharma, Seema Maitrey
    Advances in Mechanics 12 (1), 152-169 , 2024
    2024
  • Telemedicine: A New Opportunity for Transforming and Improving Rural India's Healthcare
    S Maitrey, D Seth, K Kansal, A Kumar
    Image Processing and Intelligent Computing Systems, 297-304 , 2023
    2023
    Citations: 2
  • Critical role of Information and Communication Technology in Healthcare
    S Maitrey
    Advances in Science and Technology , 2023
    2023
  • PREDICTION OF CANCER IN BREAST USING MACHINE LEARNING TECHNIQUES: A COMPARATIVE STUDY OF CLASSIFICATION ALGORITHMS
    SM Vasu Bansal, Shivangi Gaur
    Journal of Data Acquisition and Processing 38 (3), 5444-5457 , 2023
    2023
  • Artificially developed intelligent system using Python
    D Pandey, S Maitrey, D Seth
    AIP Conference Proceedings 2597 (1), 030002 , 2022
    2022
    Citations: 2
  • Making Farmers Smart for Sharing Equipements, Soil Testing, Land Lease, & Discussion Channel
    D Pandey, A Bajpai, D Seth, S Maitrey, PP Singh
    Journal of Optoelectronics Laser 41 (7), 771-777 , 2022
    2022
  • Predicting Covid-19 by Referring Three Supervised ML Algorithms: A Comparative Study using WEKA
    K Kansal, S Maitrey
    2022 International Conference on Applied Artificial Intelligence and … , 2022
    2022
    Citations: 1
  • Emergence of 30 AI Based Solutions to Tackle COVID-19 in India: Are These Tools Helpful or Not?
    K Kansal, S Maitrey
    2021 5th International Conference on Information Systems and Computer … , 2021
    2021
    Citations: 3
  • "Performance And Anaylsis Of Covid-19 In India For Spreadeading -A Mathematical Approach "
    HKG Seema Maitrey, Dilkeshwar Pandey,Deepti Seth
    Journal of Huazhong University of Science and Technology , 2021
    2021
  • A STUDY ON EFFECTIVE USE OF DIFFERENT BIG DATA TOOLS IN HEALTH CARE
    HKG Seema Maitrey, Dilkeshwar Pandey,Deepti Seth
    Journal of Huazhong University of Science and Technology , 2021
    2021
  • Machine learning for web development: A fusion
    SM Parita Jain, Anupam, Puneet Kumar Aggarwal, Kshirja Makar, Vineet Shrivastava
    Artificial Intelligence and Speech Technology 1, 45-52 , 2021
    2021
    Citations: 21
  • Data Mining—A Tool for Handling Huge Voluminous Data
    S Maitrey, YK Gupta
    Applications of Machine Learning, 177-188 , 2020
    2020
    Citations: 4
  • ANALYZING AND PREDICTING FACTORS AFFECTING ENVIRONMENTAL POLLUTION
    DS Seema Maitrey, Parita Jain, Chirag Chandiramani, Ria Gupta
    Proceedings ofthe 2nd International Conference on Contemporary Engineering … , 2020
    2020
  • Machine Learning for Web Development: A Fusion
    SM Parita Jain,Anupam, Puneet Kumar Aggarwal, Kshirja Makar, Vineet Shrivastav
    2 nd INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND SPEECH … , 2020
    2020
  • Handling Structured Data Using Data Mining Clustering Techniques
    S Maitrey, CK Jha
    2019 International Conference on Issues and Challenges in Intelligent … , 2019
    2019
    Citations: 3
  • Prevailing Approaches and PCURE for Data Retrieval from Large Databases
    S Maitrey, CK Jha, P Rana
    International Conference on Innovative Computing and Communications … , 2018
    2018
  • CURE IMPLEMENTATION
    AC Seema Maitrey
    International Journal of Computer Engineering & Technology (IJCET) 9 (4 … , 2018
    2018

MOST CITED SCHOLAR PUBLICATIONS

  • MapReduce: simplified data analysis of big data
    S Maitrey, CK Jha
    Procedia Computer Science 57, 563-571 , 2015
    2015
    Citations: 130
  • Handling big data efficiently by using map reduce technique
    S Maitrey, CK Jha
    2015 IEEE International Conference on Computational Intelligence … , 2015
    2015
    Citations: 40
  • Machine learning for web development: A fusion
    SM Parita Jain, Anupam, Puneet Kumar Aggarwal, Kshirja Makar, Vineet Shrivastava
    Artificial Intelligence and Speech Technology 1, 45-52 , 2021
    2021
    Citations: 21
  • Hierarchical clustering-an efficient technique of data mining for handling voluminous data
    S Aggarwal, P Phoghat, S Maitrey
    Int. J. Comput. Appl 129 (13), 31-36 , 2015
    2015
    Citations: 17
  • An integrated approach for CURE clustering using map-reduce technique
    S Maitrey, CK Jha
    Proceedings of Elsevier. ISBN, 978-81 , 2013
    2013
    Citations: 12
  • Remote mirroring: A disaster recovery technique in cloud computing
    A Bajpai, P Rana, S Maitrey
    International Journal of Advance Research in Science and Engineering 2 (8), 3 , 2013
    2013
    Citations: 11
  • Enhancement of CURE clustering technique in data mining
    S Maitrey, CK Jha, R Gupta, J Singh
    International Journal of Computer Applications , 2012
    2012
    Citations: 9
  • Analysis of security techniques and issues in Data Warehouse
    P Phoghat, S Maitrey
    2015 1st International Conference on Next Generation Computing Technologies … , 2015
    2015
    Citations: 5
  • Association rule mining: a technique for revolution in requirement analysis
    S Maitrey, CK Jha
    International Journal of Scientific and Research Publications 4 (8), 1-6 , 2014
    2014
    Citations: 5
  • Data Mining—A Tool for Handling Huge Voluminous Data
    S Maitrey, YK Gupta
    Applications of Machine Learning, 177-188 , 2020
    2020
    Citations: 4
  • Web Technologies (Web2. 0)
    N Goel, S Maitrey, S Kanauziya
    International Journal of Computer Applications 1 (24), 15-30 , 2010
    2010
    Citations: 4
  • Emergence of 30 AI Based Solutions to Tackle COVID-19 in India: Are These Tools Helpful or Not?
    K Kansal, S Maitrey
    2021 5th International Conference on Information Systems and Computer … , 2021
    2021
    Citations: 3
  • Handling Structured Data Using Data Mining Clustering Techniques
    S Maitrey, CK Jha
    2019 International Conference on Issues and Challenges in Intelligent … , 2019
    2019
    Citations: 3
  • Telemedicine: A New Opportunity for Transforming and Improving Rural India's Healthcare
    S Maitrey, D Seth, K Kansal, A Kumar
    Image Processing and Intelligent Computing Systems, 297-304 , 2023
    2023
    Citations: 2
  • Artificially developed intelligent system using Python
    D Pandey, S Maitrey, D Seth
    AIP Conference Proceedings 2597 (1), 030002 , 2022
    2022
    Citations: 2
  • Comparative analysis of pattern matching methodologies
    S Maitrey, CK Jhaa, P Ranab
    2014 International Conference on Issues and Challenges in Intelligent … , 2014
    2014
    Citations: 2
  • Predicting Covid-19 by Referring Three Supervised ML Algorithms: A Comparative Study using WEKA
    K Kansal, S Maitrey
    2022 International Conference on Applied Artificial Intelligence and … , 2022
    2022
    Citations: 1
  • CURE Implementation
    A Chauhan, S Maitrey
    International Journal of Computer Engineering & Technology (IJCET) 9 (4 … , 2018
    2018
    Citations: 1
  • ICETISD-2025 1 Tourism Itinerary Generation Based on Image Similarity
    SM Rovince Gangwar, Yash Goswami, Moh. Uzair Khan
    International Conference on Engineering and Technological Innovation for … , 2025
    2025
  • Smart Parking Solutions: Redefining Urban Mobility
    SM Sahib Singh, Deepti Singh, Saumya Sinha, Vanshika Jaiswal
    IEEE Conference: 2025 , 2025
    2025