Madhuri Narayan Kumbhar

@pccoer.com

Asst. Professor
Pimpri Chinchwad College of Engineering and Research, Ravet,Pune

Madhuri Narayan Kumbhar


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https://researchid.co/madhunk

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Engineering, Artificial Intelligence, Artificial Intelligence
5

Scopus Publications

48

Scholar Citations

3

Scholar h-index

2

Scholar i10-index

Scopus Publications

  • Enhancing Roman Marathi Transliteration with Phonetic Variations for Error Rectification
    Madhuri Kumbhar, Kalpana Thakre, Raviraj Joshi
    Lecture Notes in Networks and Systems, 2026
  • Crowd Panic: A Novel Dataset and Performance Evaluation
    Madhuri Kumbhar, Anand Jain, Ankush Babar, Mansi Gaikwad, Chhaya Hedaoo
    2026 International Conference on Emerging Smart Computing and Informatics Esci 2026, 2026
  • Language Identification and Transliteration approaches for Code-Mixed Text
    Madhuri Kumbhar, Kalpana Thakre
    Journal of Engineering Science and Technology Review, 2024
    People have become part of the digital era with the advent of the Web.They actively create, share, a variety of content on the web.Unlike earlier days, people widely use different social platforms to talk about their interests, hobbies, reviews on movies, and purchased items in natural language.Processing such natural languages with mixed language tasks is challenging.A sizable proportion communicates in regional language but using code-mixed and script like Roman and Devnagari for English and Marathi language.These texts are generally informal, causal, short length, non-standard spelling alteration etc are prime challenges in language processing.Language identification in mixed text is challenging, since the Romanized string of several languages is comparable.Mixed text is essential to transform into native script (Devnagari) for further processing like Information Retrieval, machine translation, Question Answering etc. Due to the lack of orthography of Latin script in Marathi, language modelling, and identification of mixed text is a challenging issue.Many NLP (Natural Language Processing) applications ranging from machine translation and information retrieval uses Machine transliteration as input mechanism for non-roman script.In this paper, different techniques and various approaches presented by the researchers for code-mixed language, Indian regional languages processing are discussed.The tasks like language identification, transliteration Named Entity Recognition are reviewed with respect to Statistical, Rule and Neural based approaches.
  • Efficient privacy preserving distributed association rule mining protocol based on random number
    Reena Kharat, Madhuri Kumbhar, Preeti Bhamre
    Advances in Intelligent Systems and Computing, 2014
  • Privacy preserving mining of Association Rules on horizontally and vertically partitioned data: A review paper
    Madhuri N. Kumbhar, Reena Kharat
    Proceedings of the 2012 12th International Conference on Hybrid Intelligent Systems His 2012, 2012
    Data mining can extract important knowledge from large database - sometimes this database is split among various parties. Here, the main aim of privacy preserving data mining is to find the global mining results by preserving the individual sites private data/information. Many Privacy Preserving Association Rule Mining (PPARM) algorithms are proposed for different partitioning methods by satisfying privacy constraints. The various methods such as randomization, perturbation, heuristic and cryptography techniques are proposed by different authors to find privacy preserving association rule mining in horizontally and vertically partitioned databases. In this paper, the analysis of different methods for PPARM is performed and their results are compared. For satisfying the privacy constraints in vertically partitioned databases, algorithm based on cryptography techniques, Homomorphic encryption, Secure Scalar product and Shamir's secret sharing technique are used. For horizontal Partitioned databases, algorithm that combines advantage of both RSA public key cryptosystem and Homomorphic encryption scheme and algorithm that uses Paillier cryptosystem to compute global supports are used. This paper reviews the wide methods used for mining association rules over distributed dataset while preserving privacy.

RECENT SCHOLAR PUBLICATIONS

  • Enhancing Roman Marathi Transliteration with Phonetic Variations for Error Rectification
    M Kumbhar, K Thakre, R Joshi
    International Conference on Computing and Communication Networks, 260-269 , 2025
    2025
  • Language identification and transliteration approaches for code-mixed text
    K Thakre
    Journal of Engineering Science and Technology Review , 2024
    2024
    Citations: 9
  • Distinct Word Sense Disambiguation Approaches for Marathi Language
    M Kumbhar, K Thakre
    INDIAN JOURNAL OF TECHNICAL EDUCATION 47 (Special Issue January 2024), 65-68 , 2024
    2024
  • Efficient privacy preserving distributed association rule mining protocol based on random number
    R Kharat, M Kumbhar, P Bhamre
    Intelligent Computing, Networking, and Informatics: Proceedings of the … , 2014
    2014
    Citations: 16
  • Privacy preserving mining of association rules on horizontally and vertically partitioned data: a review paper
    MN Kumbhar, R Kharat
    2012 12th International Conference on Hybrid Intelligent Systems (HIS), 231-235 , 2012
    2012
    Citations: 23

MOST CITED SCHOLAR PUBLICATIONS

  • Privacy preserving mining of association rules on horizontally and vertically partitioned data: a review paper
    MN Kumbhar, R Kharat
    2012 12th International Conference on Hybrid Intelligent Systems (HIS), 231-235 , 2012
    2012
    Citations: 23
  • Efficient privacy preserving distributed association rule mining protocol based on random number
    R Kharat, M Kumbhar, P Bhamre
    Intelligent Computing, Networking, and Informatics: Proceedings of the … , 2014
    2014
    Citations: 16
  • Language identification and transliteration approaches for code-mixed text
    K Thakre
    Journal of Engineering Science and Technology Review , 2024
    2024
    Citations: 9
  • Enhancing Roman Marathi Transliteration with Phonetic Variations for Error Rectification
    M Kumbhar, K Thakre, R Joshi
    International Conference on Computing and Communication Networks, 260-269 , 2025
    2025
  • Distinct Word Sense Disambiguation Approaches for Marathi Language
    M Kumbhar, K Thakre
    INDIAN JOURNAL OF TECHNICAL EDUCATION 47 (Special Issue January 2024), 65-68 , 2024
    2024