Preeti Jha

According to our database, Preeti Jha authored at least 12 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Apache Spark-based scalable feature extraction approaches for protein sequence and their clustering performance analysis.

Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Nilagiri Harshith, Mukkamalla Mounika, Neha Nagendra

Int. J. Data Sci. Anal., May, 2023

Scalable Kernelized Deep Fuzzy Clustering Algorithms for Big Data.

Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Anjali Gupta, Deepali Sukhija, Deepika Sukhija, Rajesh Dwivedi

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

A Novel Feature Extraction Approach for the Clustering and Classification of Genome Sequences.

Rajesh Dwivedi, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Abhishek Tripathi, Preeti Jha

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

2022

A Novel Scalable Apache Spark Based Feature Extraction Approaches for Huge Protein Sequence and their Clustering Performance Analysis.

Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Nilagiri Harshith, Mukkamalla Mounika, Neha Nagendra

CoRR, 2022

High-Performance Computing based Scalable Online Fuzzy Clustering Algorithms for Big Data.

Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Rapolu Pulakitha, Aditi Chauhan

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

HPC Based Scalable Logarithmic Kernelized Fuzzy Clustering Algorithms for Handling Big Data.

Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Sawarkar Saloni, Namani Sreeharsh

Proceedings of the Neural Information Processing - 29th International Conference, 2022

HPC enabled a Novel Deep Fuzzy Scalable Clustering Algorithm and its Application for Protein Data.

Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Vaibhav Anand, Sudhanshu Arya, Tanmay Singh

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2022

A Novel Scalable Feature Extraction Approach for COVID-19 Protein Sequences and their Cluster Analysis with Kernelized Fuzzy Algorithm.

Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Nilagiri Harshith, Soundarya Lahari Solasa

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2022

2021

A Novel Scalable Kernelized Fuzzy Clustering Algorithms Based on In-Memory Computation for Handling Big Data.

Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Mukkamalla Mounika, Neha Nagendra

IEEE Trans. Emerg. Top. Comput. Intell., 2021

Scalable incremental fuzzy consensus clustering algorithm for handling big data.

Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Neha Nagendra, Mukkamalla Mounika

Soft Comput., 2021

Apache Spark based kernelized fuzzy clustering framework for single nucleotide polymorphism sequence analysis.

Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Mukkamalla Mounika, Neha Nagendra

Comput. Biol. Chem., 2021

Scalable Fuzzy Clustering-based Regression to Predict the Isoelectric Points of the Plant Protein Sequences using Apache Spark.

Ajay Choudhary, Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe

Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021