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ORCIDMilind B. Ratnaparkhe
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2020 – today
- 2024
[j7]Rajesh Dwivedi
, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Rishabh Soni, Rahul Mahbubani, Saket Kumar:
An incremental clustering method based on multiple objectives for dynamic data analysis. Multim. Tools Appl. 83(13): 38145-38165 (2024)- [j6]Rajesh Dwivedi, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Parul Mogre, Pranjal Gadge, Kethavath Jagadeesh:
A novel apache spark-based 14-dimensional scalable feature extraction approach for the clustering of genomics data. J. Supercomput. 80(3): 3554-3588 (2024) - [j5]Rajesh Dwivedi, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Alok Kumar Tiwari:
A taxonomy of unsupervised feature selection methods including their pros, cons, and challenges. J. Supercomput. 80(16): 24212-24240 (2024) - 2023
- [j4]Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Nilagiri Harshith, Mukkamalla Mounika, Neha Nagendra:
Apache Spark-based scalable feature extraction approaches for protein sequence and their clustering performance analysis. Int. J. Data Sci. Anal. 15(4): 359-378 (2023) - [c9]Rajesh Dwivedi, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Abhishek Tripathi, Preeti Jha:
A Novel Feature Extraction Approach for the Clustering and Classification of Genome Sequences. SSCI 2023: 1018-1023 - [c8]Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Anjali Gupta, Deepali Sukhija, Deepika Sukhija, Rajesh Dwivedi:
Scalable Kernelized Deep Fuzzy Clustering Algorithms for Big Data. SSCI 2023: 1322-1327 - [i4]Mithun Singh, Kapil Ahuja, Milind B. Ratnaparkhe:
A Novel Sampled Clustering Algorithm for Rice Phenotypic Data. CoRR abs/2312.14920 (2023) - 2022
- [c7]Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Nilagiri Harshith, Soundarya Lahari Solasa:
A Novel Scalable Feature Extraction Approach for COVID-19 Protein Sequences and their Cluster Analysis with Kernelized Fuzzy Algorithm. BigComp 2022: 56-59 - [c6]Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Vaibhav Anand, Sudhanshu Arya, Tanmay Singh:
HPC enabled a Novel Deep Fuzzy Scalable Clustering Algorithm and its Application for Protein Data. CIBCB 2022: 1-8 - [c5]Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Sawarkar Saloni, Namani Sreeharsh:
HPC Based Scalable Logarithmic Kernelized Fuzzy Clustering Algorithms for Handling Big Data. ICONIP (5) 2022: 205-215 - [c4]Rajesh Dwivedi, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe:
A Hybrid Feature Selection Approach for Data Clustering Based on Ant Colony Optimization. ICONIP (3) 2022: 659-670 - [c3]Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Rapolu Pulakitha, Aditi Chauhan:
High-Performance Computing based Scalable Online Fuzzy Clustering Algorithms for Big Data. SSCI 2022: 1400-1407 - [i3]Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Nilagiri Harshith, Mukkamalla Mounika, Neha Nagendra:
A Novel Scalable Apache Spark Based Feature Extraction Approaches for Huge Protein Sequence and their Clustering Performance Analysis. CoRR abs/2204.11835 (2022) - 2021
- [j3]Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Mukkamalla Mounika, Neha Nagendra:
Apache Spark based kernelized fuzzy clustering framework for single nucleotide polymorphism sequence analysis. Comput. Biol. Chem. 92: 107454 (2021) - [j2]Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Neha Nagendra, Mukkamalla Mounika:
Scalable incremental fuzzy consensus clustering algorithm for handling big data. Soft Comput. 25(13): 8703-8719 (2021) - [j1]Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Mukkamalla Mounika, Neha Nagendra:
A Novel Scalable Kernelized Fuzzy Clustering Algorithms Based on In-Memory Computation for Handling Big Data. IEEE Trans. Emerg. Top. Comput. Intell. 5(6): 908-919 (2021) - [c2]Ajay Choudhary, Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe:
Scalable Fuzzy Clustering-based Regression to Predict the Isoelectric Points of the Plant Protein Sequences using Apache Spark. FUZZ-IEEE 2021: 1-6 - 2020
- [i2]Aditya A. Shastri, Kapil Ahuja, Milind B. Ratnaparkhe, Yann Busnel:
Probabilistically Sampled and Spectrally Clustered Plant Genotypes using Phenotypic Characteristics. CoRR abs/2009.09028 (2020)
2010 – 2019
- 2018
- [c1]Neha Mehra, Aruna Tiwari, Milind B. Ratnaparkhe, Neha Bharill:
A Computational Analysis of Protein Sequences for Cyclophilin Superfamily using Feature Extraction. SSCI 2018: 1953-1957 - [i1]Aditya A. Shastri, Kapil Ahuja, Milind B. Ratnaparkhe, Aditya Shah, Aishwary Gagrani, Anant Lal:
Vector Quantized Spectral Clustering applied to Soybean Whole Genome Sequences. CoRR abs/1810.00398 (2018)
Coauthor Index
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