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ORCIDAnil Kumar Singh 0002
Person information
- affiliation: Motilal Nehru National Institute of Technology Allahabad, Department of Computer Science and Engineering, Prayagraj, UP, India
- affiliation (PhD): Indian Institute of Technology (IIT) Roorkee, UK, India
Other persons with the same name
- Anil Kumar Singh — disambiguation page
- Anil Kumar Singh 0001
![[0000-0001-7177-5901]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-7177-5901")
— Indian Institute of Technology (BHU) Varanasi, Department of Computer Science amp Engineering, Varanasi, UP, India - Anil Kumar Singh 0003 — University of Allahabad, Department of Earth & Planetary Sciences, Prayagraj, India
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2020 – today
- 2024
[j20]Supriya Agrahari, Sakshi Srivastava, Anil Kumar Singh:
Review on novelty detection in the non-stationary environment. Knowl. Inf. Syst. 66(3): 1549-1574 (2024)- [j19]Jagrati Singh, Digvijay Pandey, Anil Kumar Singh:
Event detection from real-time twitter streaming data using community detection algorithm. Multim. Tools Appl. 83(8): 23437-23464 (2024) - 2023
- [j18]Kamalakant Laxman Bawankule, Rupesh Kumar Dewang, Anil Kumar Singh:
Early straggler tasks detection by recurrent neural network in a heterogeneous environment. Appl. Intell. 53(7): 7369-7389 (2023) - [j17]Sakshi Srivastava, Supriya Agrahari, Anil Kumar Singh:
Spam community detection & influence minimization using NRIM algorithm. Comput. Hum. Behav. 147: 107832 (2023) - [j16]Sakshi Srivastava, Anil Kumar Singh:
Fraud detection in the distributed graph database. Clust. Comput. 26(1): 515-537 (2023) - [j15]Jagrati Singh, Anil Kumar Singh:
State-of-the-art approaches for event detection over Twitter stream: a survey. Int. J. Bus. Intell. Data Min. 23(4): 325-374 (2023) - [j14]Sakshi Srivastava, Supriya Agrahari, Anil Kumar Singh:
Early Spam Detection Using Time-Based Cache in Graph database. New Gener. Comput. 41(3): 607-634 (2023) - 2022
- [j13]Kamalakant Laxman Bawankule, Rupesh Kumar Dewang, Anil Kumar Singh:
Historical data based approach to mitigate stragglers from the Reduce phase of MapReduce in a heterogeneous Hadoop cluster. Clust. Comput. 25(5): 3193-3211 (2022) - [j12]Supriya Agrahari, Anil Kumar Singh:
Adaptive PCA-based feature drift detection using statistical measure. Clust. Comput. 25(6): 4481-4494 (2022) - [j11]Garima Singh, Anil Kumar Singh:
Optimization of SLA aware live migration of multiple virtual machines using Lagrange multiplier. Future Gener. Comput. Syst. 130: 279-291 (2022) - [j10]Kamalakant Laxman Bawankule, Rupesh Kumar Dewang, Anil Kumar Singh:
A classification framework for straggler mitigation and management in a heterogeneous Hadoop cluster: A state-of-art survey. J. King Saud Univ. Comput. Inf. Sci. 34(9): 7621-7644 (2022) - [j9]Supriya Agrahari, Anil Kumar Singh:
Concept Drift Detection in Data Stream Mining : A literature review. J. King Saud Univ. Comput. Inf. Sci. 34(10 Part B): 9523-9540 (2022) - [c6]Supriya Agrahari, Anil Kumar Singh:
Unsupervised Virtual Drift Detection Method in Streaming Environment. CVMI 2022: 311-322 - [c5]Garima Singh, Ruchi Tailwal, Meenakshi Kathayat, Anil Kumar Singh:
IPAM: An Improved Penalty Aware VM Migration Technique. ICCSA (1) 2022: 324-336 - 2021
- [j8]Jagrati Singh, Anil Kumar Singh:
NSLPCD: Topic based tweets clustering using Node significance based label propagation community detection algorithm. Ann. Math. Artif. Intell. 89(3-4): 371-407 (2021) - [j7]Jagrati Singh, Anil Kumar Singh:
Semrank: A Semantic Similarity-Based Tweets Ranking Approach. Int. J. Cogn. Informatics Nat. Intell. 15(3): 74-96 (2021) - [j6]Kamalakant Laxman Bawankule, Rupesh Kumar Dewang, Anil Kumar Singh:
Performance Analysis of Hadoop YARN Job Schedulers in a Multi-Tenant Environment on HiBench Benchmark Suite. Int. J. Distributed Syst. Technol. 12(3): 64-82 (2021) - [j5]Kamalakant Laxman Bawankule, Rupesh Kumar Dewang, Anil Kumar Singh:
Historical data based approach for straggler avoidance in a heterogeneous Hadoop cluster. J. Ambient Intell. Humaniz. Comput. 12(10): 9573-9589 (2021) - [j4]Garima Singh, Anil Kumar Singh:
Optimizing multi-VM migration by allocating transfer and compression rate using Geometric Programming. Simul. Model. Pract. Theory 106: 102201 (2021) - [c4]Kamalakant Laxman Bawankule, Rupesh Kumar Dewang, Anil Kumar Singh:
Load Balancing Approach for a MapReduce Job Running on a Heterogeneous Hadoop Cluster. ICDCIT 2021: 289-298
2010 – 2019
- 2018
- [j3]Subhadra Bose Shaw, Anil Kumar Singh, Shailesh Tripathi:
Optimum Utilization of Resources Through Restricted Virtual Machine Migration and Efficient VM Placement in Cloud Data Center. Int. J. Distributed Syst. Technol. 9(4): 1-19 (2018) - [j2]Rupesh Kumar Dewang, Anil Kumar Singh:
State-of-art approaches for review spammer detection: a survey. J. Intell. Inf. Syst. 50(2): 231-264 (2018) - [c3]Garima Singh, Anil Kumar Singh:
Effect of Live Migration on Virtual Hadoop Cluster. ICDCIT 2018: 152-157 - 2016
- [c2]Rupesh Kumar Dewang, Pushpendra Bahadur Singh, Anil Kumar Singh:
Finding of Review Spam through "Corleone, Review Genre, Writing Style and Review Text Detail Features". ICTCS 2016: 23:1-23:6 - 2015
- [j1]Subhadra Bose Shaw, Anil Kumar Singh:
Use of proactive and reactive hotspot detection technique to reduce the number of virtual machine migration and energy consumption in cloud data center. Comput. Electr. Eng. 47: 241-254 (2015) - [c1]Rupesh Kumar Dewang, Anil Kumar Singh:
Identification of Fake Reviews Using New Set of Lexical and Syntactic Features. ICCCT 2015: 115-119
Coauthor Index
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