Milind B. Ratnaparkhe

25 papers B 1C 1Journal 16Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
A novel chemical property-based, alignment-free scalable feature extraction method for genomic data clustering.
Comput. Electr. Eng.
Rajesh Dwivedi, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Saurabh Kumar Singh, Abhishek Tripathi
2025 J jnl
A scalable method for extracting features using a complex network from SNP sequences and clustering using the scalable Max of Min algorithm.
Soft Comput.
Achint Kumar Kansal, Aruna Tiwari, Milind B. Ratnaparkhe, Rajesh Dwivedi, Preeti Jha
2025 J jnl
Gpu-enhanced scalable methods for genome sequence feature extraction and clustering.
Int. J. Syst. Assur. Eng. Manag.
Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel
2025 J jnl
On construction of data preprocessing for real-life SoyLeaf dataset & disease identification using Deep Learning Models.
Comput. Biol. Chem.
Sujata Gudge, Aruna Tiwari, Milind B. Ratnaparkhe, Preeti Jha
2025 J jnl
Scalable alignment-free feature extraction approach for genome data and their cluster analysis.
Multim. Tools Appl.
Abhishek Tripathi, Aruna Tiwari, Narendra S. Chaudhari, Milind B. Ratnaparkhe, Neha Bharill, Preeti Jha, Rajesh Dwivedi
2024 J jnl
A novel apache spark-based 14-dimensional scalable feature extraction approach for the clustering of genomics data.
J. Supercomput.
Rajesh Dwivedi, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Parul Mogre, Pranjal Gadge, Kethavath Jagadeesh
2024 J jnl
A taxonomy of unsupervised feature selection methods including their pros, cons, and challenges.
J. Supercomput.
Rajesh Dwivedi, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Alok Kumar Tiwari
2024 J jnl
An incremental clustering method based on multiple objectives for dynamic data analysis.
Multim. Tools Appl.
Rajesh Dwivedi, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Rishabh Soni, Rahul Mahbubani, Saket Kumar
2023 — conf
A Novel Feature Extraction Approach for the Clustering and Classification of Genome Sequences.
SSCI
Rajesh Dwivedi, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Abhishek Tripathi, Preeti Jha
2023 J jnl
A Novel Sampled Clustering Algorithm for Rice Phenotypic Data.
CoRR
Mithun Singh, Kapil Ahuja, Milind B. Ratnaparkhe
2023 J jnl
Apache Spark-based scalable feature extraction approaches for protein sequence and their clustering performance analysis.
Int. J. Data Sci. Anal.
Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Nilagiri Harshith, Mukkamalla Mounika, Neha Nagendra
2023 — conf
Scalable Kernelized Deep Fuzzy Clustering Algorithms for Big Data.
SSCI
Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Anjali Gupta, Deepali Sukhija, Deepika Sukhija, Rajesh Dwivedi
2022 — conf
A Hybrid Feature Selection Approach for Data Clustering Based on Ant Colony Optimization.
ICONIP (3)
Rajesh Dwivedi, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe
2022 J jnl
A Novel Scalable Apache Spark Based Feature Extraction Approaches for Huge Protein Sequence and their Clustering Performance Analysis.
CoRR
Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Nilagiri Harshith, Mukkamalla Mounika, Neha Nagendra
2022 — conf
A Novel Scalable Feature Extraction Approach for COVID-19 Protein Sequences and their Cluster Analysis with Kernelized Fuzzy Algorithm.
BigComp
Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Nilagiri Harshith, Soundarya Lahari Solasa
2022 — conf
HPC Based Scalable Logarithmic Kernelized Fuzzy Clustering Algorithms for Handling Big Data.
ICONIP (5)
Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Sawarkar Saloni, Namani Sreeharsh
2022 C conf
HPC enabled a Novel Deep Fuzzy Scalable Clustering Algorithm and its Application for Protein Data.
CIBCB
Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Vaibhav Anand, Sudhanshu Arya, Tanmay Singh
2022 — conf
High-Performance Computing based Scalable Online Fuzzy Clustering Algorithms for Big Data.
SSCI
Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Rapolu Pulakitha, Aditi Chauhan
2021 J jnl
A Novel Scalable Kernelized Fuzzy Clustering Algorithms Based on In-Memory Computation for Handling Big Data.
IEEE Trans. Emerg. Top. Comput. Intell.
Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Mukkamalla Mounika, Neha Nagendra
2021 J jnl
Apache Spark based kernelized fuzzy clustering framework for single nucleotide polymorphism sequence analysis.
Comput. Biol. Chem.
Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Mukkamalla Mounika, Neha Nagendra
2021 B conf
Scalable Fuzzy Clustering-based Regression to Predict the Isoelectric Points of the Plant Protein Sequences using Apache Spark.
FUZZ-IEEE
Ajay Choudhary, Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe
2021 J jnl
Scalable incremental fuzzy consensus clustering algorithm for handling big data.
Soft Comput.
Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Neha Nagendra, Mukkamalla Mounika
2020 J jnl
Probabilistically Sampled and Spectrally Clustered Plant Genotypes using Phenotypic Characteristics.
CoRR
Aditya A. Shastri, Kapil Ahuja, Milind B. Ratnaparkhe, Yann Busnel
2018 — conf
A Computational Analysis of Protein Sequences for Cyclophilin Superfamily using Feature Extraction.
SSCI
Neha Mehra, Aruna Tiwari, Milind B. Ratnaparkhe, Neha Bharill
2018 J jnl
Vector Quantized Spectral Clustering applied to Soybean Whole Genome Sequences.
CoRR
Aditya A. Shastri, Kapil Ahuja, Milind B. Ratnaparkhe, Aditya Shah, Aishwary Gagrani, Anant Lal