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ORCIDNavneet Goyal
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2020 – today
- 2024
[j17]Jagat Sesh Challa, Navneet Goyal, Amogh Sharma, Nikhil Sreekumar, Sundar Balasubramaniam, Poonam Goyal:
A Survey and Experimental Review on Data Distribution Strategies for Parallel Spatial Clustering Algorithms. J. Comput. Sci. Technol. 39(3): 610-636 (2024)- [c46]Poonam Goyal, Arshveer Kaur, Arvind Ram, Navneet Goyal:
Efficient Representation Learning of Satellite Image Time Series and Their Fusion for Spatiotemporal Applications. AAAI 2024: 8436-8444 - [c45]Prawaal Sharma, Poonam Goyal, Vidisha Sharma, Navneet Goyal:
VOLTAGE: A Versatile Contrastive Learning based OCR Methodology for ultra low-resource scripts through Auto Glyph Feature Extraction. EACL (1) 2024: 881-899 - [c44]Aarti, Jagat Sesh Challa, Hrishikesh Harsh, Utkarsh Darolia, Mansi Agarwal, Raghav Chaudhary, Navneet Goyal, Poonam Goyal:
A Hierarchical Anytime k-NN Classifier for Large-Scale High-Speed Data Streams. ICAART (2) 2024: 276-287 - 2023
- [j16]Arshveer Kaur, Poonam Goyal
, Rohit Rajhans, Lakshya Agarwal, Navneet Goyal:
Fusion of multivariate time series meteorological and static soil data for multistage crop yield prediction using multi-head self attention network. Expert Syst. Appl. 226: 120098 (2023) - [j15]Asma Rani, Navneet Goyal, Shashi K. Gadia:
Provenance Framework for Multi-Depth Querying Using Zero-Information Loss Database. Int. J. Inf. Technol. Decis. Mak. 22(5): 1693-1742 (2023) - [c43]Aarti, Jagat Sesh Challa, Utkarsh Darolia, Mridul Chandak, Poonam Goyal, Navneet Goyal:
An Adaptive Hierarchical Method for Anytime Set-wise Clustering of Variable and High-Speed Data Streams. IEEE Big Data 2023: 568-577 - [c42]Yash Gupta, Navneet Goyal, Vishal John Varghese, Poonam Goyal:
Utilizing MODIS Fire Mask for Predicting Forest Fires Using Landsat-9/8 and Meteorological Data. DSAA 2023: 1-10 - [c41]Arshveer Kaur, Poonam Goyal, Navneet Goyal:
LSFuseNet: Dual-Fusion of Landsat-8 and Sentinel-2 Multispectral Time Series for Permutation Invariant Applications. DSAA 2023: 1-10 - [c40]Prawaal Sharma, Navneet Goyal, Poonam Goyal, Vishnupriyan R:
A fully automated and scalable Parallel Data Augmentation for Low Resource Languages using image and text analytics. SAC 2023: 358-361 - [c39]Prawaal Sharma, Navneet Goyal, Poonam Goyal:
Multimodal Semantographic Metalanguage (MSM): A novel methodology for digital enablement of semi-literates. SAC 2023: 844-851 - [e1]Vikram Goyal, Naveen Kumar, Sourav S. Bhowmick, Pawan Goyal, Navneet Goyal, Dhruv Kumar:
Big Data and Artificial Intelligence - 11th International Conference, BDA 2023, Delhi, India, December 7-9, 2023, Proceedings. Lecture Notes in Computer Science 14418, Springer 2023, ISBN 978-3-031-49600-4 [contents] - 2022
- [j14]Asma Rani, Navneet Goyal, Shashi K. Gadia:
Big social data provenance framework for Zero-Information Loss Key-Value Pair (KVP) Database. Int. J. Data Sci. Anal. 14(1): 65-87 (2022) - [j13]Jagat Sesh Challa, Poonam Goyal, Ajinkya Kokandakar, Dhananjay Mantri, Pranet Verma, Sundar Balasubramaniam, Navneet Goyal:
Anytime clustering of data streams while handling noise and concept drift. J. Exp. Theor. Artif. Intell. 34(3): 399-429 (2022) - [j12]Asma Rani, Navneet Goyal, Shashi K. Gadia:
Social data provenance framework based on zero-information loss graph database. Soc. Netw. Anal. Min. 12(1): 72 (2022) - [c38]Jagat Sesh Challa, Dhruv Rawat, Navneet Goyal, Poonam Goyal:
AnyStreamKM: Anytime k-medoids Clustering for Streaming Data. IEEE Big Data 2022: 844-853 - [c37]Arshveer Kaur, Poonam Goyal, Kartik Sharma, Lakshay Sharma, Navneet Goyal:
A Generalized Multimodal Deep Learning Model for Early Crop Yield Prediction. IEEE Big Data 2022: 1272-1279 - [c36]A. K. Singh, Navneet Goyal:
Android Web Security Solution using Cross-device Federated Learning. COMSNETS 2022: 473-481 - 2021
- [j11]Vikas Hassija, Siddharth Batra, Vinay Chamola, Tanmay Anand, Poonam Goyal, Navneet Goyal, Mohsen Guizani:
A blockchain and deep neural networks-based secure framework for enhanced crop protection. Ad Hoc Networks 119: 102537 (2021) - [c35]Asma Rani, Navneet Goyal, Shashi K. Gadia:
Twitter Data Modelling and Provenance Support for Key-Value Pair Databases. ADC 2021: 87-98 - [c34]A. K. Singh, Navneet Goyal:
Detection of Malicious Webpages Using Deep Learning. IEEE BigData 2021: 3370-3379 - [c33]Asma Rani, Navneet Goyal, Shashi K. Gadia:
Provenance Framework for Twitter Data using Zero-Information Loss Graph Database. COMAD/CODS 2021: 74-82 - [c32]Prawaal Sharma, Navneet Goyal:
Zero-shot reductive paraphrasing for digitally semi-literate. FIRE 2021: 91-98 - 2020
- [j10]Poonam Goyal, Jagat Sesh Challa, Shivin Shrivastava, Navneet Goyal:
Anytime Frequent Itemset Mining of Transactional Data Streams. Big Data Res. 21: 100146 (2020) - [j9]Poonam Goyal, Sonal Kumari, Sumit Sharma, Sundar Balasubramaniam, Navneet Goyal:
Parallel SLINK for big data. Int. J. Data Sci. Anal. 9(3): 339-359 (2020) - [j8]Poonam Goyal, Jagat Sesh Challa, Dhruv Kumar, Anuvind Bhat, Sundar Balasubramaniam, Navneet Goyal:
Grid-R-tree: a data structure for efficient neighborhood and nearest neighbor queries in data mining. Int. J. Data Sci. Anal. 10(1): 25-47 (2020) - [j7]Saiyedul Islam, Sundar Balasubramaniam, Shruti Gupta, Shikhar Brajesh, Rohan Badlani, Nitin Labhishetty, Abhinav Baid, Poonam Goyal, Navneet Goyal:
Automatic parallelization of representative-based clustering algorithms for multicore cluster systems. Int. J. Data Sci. Anal. 10(2): 135-159 (2020) - [j6]Poonam Goyal, Prerna Kaushik, Pranjal Gupta, Dev Vashisth, Shavak Agarwal, Navneet Goyal:
Multilevel Event Detection, Storyline Generation, and Summarization for Tweet Streams. IEEE Trans. Comput. Soc. Syst. 7(1): 8-23 (2020) - [j5]Chandramani Chaudhary, Poonam Goyal, Navneet Goyal, Yi-Ping Phoebe Chen:
Image Retrieval for Complex Queries Using Knowledge Embedding. ACM Trans. Multim. Comput. Commun. Appl. 16(1): 13:1-13:23 (2020) - [c31]A. K. Singh, Navneet Goyal:
Understanding and Mitigating Threats from Android Hybrid Apps Using Machine Learning. IEEE BigData 2020: 1-9
2010 – 2019
- 2019
- [j4]Chandramani Chaudhary, Poonam Goyal, Siddhant Tuli, Shuchita Banthia, Navneet Goyal, Yi-Ping Phoebe Chen:
A novel multimodal clustering framework for images with diverse associated text. Multim. Tools Appl. 78(13): 17623-17652 (2019) - [c30]Saiyedul Islam, Navneet Goyal, Sundar Balasubramaniam, Poonam Goyal, Achal Agarwal, Kirti Singh Rathore, Nischay Singh:
Rapid Prototyping of Hierarchical Agglomerative Clustering Algorithms for Distributed Systems. IEEE BigData 2019: 307-316 - [c29]Aditya Sarma, Poonam Goyal, Sonal Kumari, Anand Wani, Jagat Sesh Challa, Saiyedul Islam, Navneet Goyal:
μDBSCAN: An Exact Scalable DBSCAN Algorithm for Big Data Exploiting Spatial Locality. CLUSTER 2019: 1-11 - [c28]A. K. Singh, Navneet Goyal:
A Comparison of Machine Learning Attributes for Detecting Malicious Websites. COMSNETS 2019: 352-358 - [c27]Saiyedul Islam, Sundar Balasubramaniam, Poonam Goyal, Ankit Sultana, Lakshit Bhutani, Saurabh Raje, Navneet Goyal:
A Rapid Prototyping Approach for High Performance Density-Based Clustering. DSAA 2019: 260-269 - 2018
- [j3]Dhruv Kumar, Poonam Goyal, Navneet Goyal:
An efficient method for batch updates in OPTICS cluster ordering. Int. J. Data Anal. Tech. Strateg. 10(1): 57-80 (2018) - [j2]Poonam Goyal, N. Mehala, Divyansh Bhatia, Navneet Goyal:
Topical document clustering: two-stage post processing technique. Int. J. Data Min. Model. Manag. 10(2): 127-170 (2018) - [c26]Jagat Sesh Challa, Poonam Goyal, Vijay M. Giri, Dhananjay Mantri, Navneet Goyal:
AnySC: Anytime Set-wise Classification of Variable Speed Data Streams. IEEE BigData 2018: 967-974 - [c25]Avadesh Meduri, Navneet Goyal:
Optical Character Recognition for Sanskrit Using Convolution Neural Networks. DAS 2018: 447-452 - [c24]Saiyedul Islam, Sundar Balasubramaniam, Shruti Gupta, Shikhar Brajesh, Rohan Badlani, Nitin Labhishetty, Abhinav Baid, Poonam Goyal, Navneet Goyal:
Pattern-Based Automatic Parallelization of Representative-Based Clustering Algorithms. DSAA 2018: 99-108 - [c23]Chandramani Chaudhary, Poonam Goyal, Joel Ruben Antony Moniz, Navneet Goyal, Yi-Ping Phoebe Chen:
Linguistic Patterns and Cross Modality-based Image Retrieval for Complex Queries. ICMR 2018: 257-265 - 2017
- [c22]Poonam Goyal, Jagat Sesh Challa, Shivin Shrivastava, Navneet Goyal:
AnyFI: An anytime frequent itemset mining algorithm for data streams. IEEE BigData 2017: 942-947 - [c21]A. K. Singh, Navneet Goyal:
MalCrawler: A Crawler for Seeking and Crawling Malicious Websites. ICDCIT 2017: 210-223 - [c20]Saiyedul Islam, Sundar Balasubramaniam, Poonam Goyal, Mohit Sati, Navneet Goyal:
A Domain Specific Language for Clustering. ICDCIT 2017: 231-234 - [c19]Sonal Kumari, Poonam Goyal, Ankit Sood, Dhruv Kumar, Sundar Balasubramaniam, Navneet Goyal:
Exact, Fast and Scalable Parallel DBSCAN for Commodity Platforms. ICDCN 2017: 14 - 2016
- [c18]Jagat Sesh Challa, Poonam Goyal, S. Nikhil, Aditya Mangla, Sundar Balasubramaniam, Navneet Goyal:
DD-Rtree: A dynamic distributed data structure for efficient data distribution among cluster nodes for spatial data mining algorithms. IEEE BigData 2016: 27-36 - [c17]Poonam Goyal, Sonal Kumari, Sumit Sharma, Vivek Kishore, Navneet Goyal, Sundar Balasubramaniam:
Spatial Locality Aware, Fast, and Scalable SLINK Algorithm for Commodity Clusters. CLUSTER 2016: 158-159 - [c16]Asma Rani, Navneet Goyal, Shashi K. Gadia:
Efficient Multi-depth Querying on Provenance of Relational Queries Using Graph Database. COMPUTE 2016: 11-20 - [c15]Poonam Goyal, Sonal Kumari, Shubham Singh, Vivek Kishore, Sundar Balasubramaniam, Navneet Goyal:
A Parallel Framework for Grid-Based Bottom-Up Subspace Clustering. DSAA 2016: 331-340 - [c14]Navneet Goyal, Sundar Balasubramaniam, Poonam Goyal, Saiyedul Islam, Mohit Sati:
A High Performance Computing Framework for Data Mining. HiPC Workshops 2016: 11-18 - [c13]Sonal Kumari, Saurabh Maurya, Poonam Goyal, Sundar Balasubramaniam, Navneet Goyal:
Scalable Parallel Algorithms for Shared Nearest Neighbor Clustering. HiPC 2016: 72-81 - [c12]Poonam Goyal, Sonal Kumari, Sumit Sharma, Dhruv Kumar, Vivek Kishore, Sundar Balasubramaniam, Navneet Goyal:
A Fast, Scalable SLINK Algorithm for Commodity Cluster Computing Exploiting Spatial Locality. HPCC/SmartCity/DSS 2016: 268-275 - 2015
- [j1]Poonam Goyal, N. Mehala, Navneet Goyal:
Incremental models for query clustering and query-context aware document clustering. Int. J. Knowl. Web Intell. 5(2): 146-167 (2015) - [c11]Sonal Kumari, Anil Maheshwari, Poonam Goyal, Navneet Goyal:
Parallel Framework for Efficient k-means Clustering. COMPUTE 2015: 63-71 - [c10]Asma Rani, Navneet Goyal, Shashi K. Gadia:
Data Provenance for Historical Queries in Relational Database. COMPUTE 2015: 117-122 - [c9]Jagat Sesh Challa, Poonam Goyal, S. Nikhil, Sundar Balasubramaniam, Navneet Goyal:
A concurrent k-NN search algorithm for R-tree. COMPUTE 2015: 123-128 - [c8]Poonam Goyal, Sonal Kumari, Dhruv Kumar, Sundar Balasubramaniam, Navneet Goyal, Saiyedul Islam, Jagat Sesh Challa:
Parallelizing OPTICS for Commodity Clusters. ICDCN 2015: 33:1-33:10 - 2014
- [c7]Poonam Goyal, Sonal Kumari, Dhruv Kumar, Sundar Balasubramaniam, Navneet Goyal:
Parallelizing OPTICS for multicore systems. COMPUTE 2014: 17:1-17:6 - 2011
- [c6]Navneet Goyal, Poonam Goyal, Mayank P. Mohta, Aman Neelappa, K. Venkatramaiah:
A Multi-purpose Density Based Clustering Framework. IC3 2011: 538-540 - [c5]Poonam Goyal, Navneet Goyal, Rohan Sunil Karwa, Matthew John:
Phase-Wise Clustering of Time Series Gene Expression Data. TrustCom 2011: 1668-1674
2000 – 2009
- 2009
- [c4]Navneet Goyal, Yashvardhan Sharma:
New binning strategy for bitmap indices on high cardinality attributes. Bangalore Compute Conf. 2009: 22 - [c3]Poonam Goyal, Navneet Goyal, Ashish Gupta, T. S. Rahul:
Designing self-adaptive websites using online hotlink assignment algorithm. MoMM 2009: 579-583 - 2007
- [c2]Poonam Goyal, Navneet Goyal, Ankit Khandelwal, S. Raja Babu:
Online Hotlink Assignment Algorithm for Adaptive Websites. IICAI 2007: 711-719 - 2006
- [c1]Navneet Goyal, Susheel Kumar Zaveri, Yashvardhan Sharma:
Improved Bitmap Indexing Strategy for Data Warehouses. ICIT 2006: 213-216
Coauthor Index
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last updated on 2024-07-30 20:42 CEST by the dblp team
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