Vangipuram Radhakrishna

According to our database, Vangipuram Radhakrishna authored at least 33 papers between 2013 and 2023.

Collaborative distances:

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

2023

DDoS Attack Dataset.

Raghupathi Manthena, Vangipuram Radhakrishna

Dataset, July, 2023

2021

CLOUD ATTACK DATASET.

Laxmi Pranitha Rachamalla, Anusha Akkidasari, Sandhya Madiga, Harshitha Mittapalli, Vangipuram Radhakrishna

Dataset, November, 2021

Challenge Paper: The Vision for Time Profiled Temporal Association Mining.

Vangipuram Radhakrishna, Gali Suresh Reddy, Puligadda Veereswara Kumar, Vinjamuri Janaki

ACM J. Data Inf. Qual., 2021

Design of Gaussian Similarity Measure for Network Anomaly Detection.

Arun Nagaraja, Uma Boregowda, Vangipuram Radhakrishna, Rajeshkumar Gunupudi

Proceedings of the DATA'21: International Conference on Data Science, 2021

Fuzzy Feature Similarity Functions for Feature Clustering and Dimensionality Reduction.

Arun Nagaraja, Uma Boregowda, Vangipuram Radhakrishna

Proceedings of the DATA'21: International Conference on Data Science, 2021

Regression analysis for network intrusion detection.

Arun Nagaraja, Uma Boregowda, Vangipuram Radhakrishna

Proceedings of the DATA'21: International Conference on Data Science, 2021

Study of Detection of DDoS attacks in cloud environment Using Regression Analysis.

Arun Nagaraja, Uma Boregowda, Vangipuram Radhakrishna

Proceedings of the DATA'21: International Conference on Data Science, 2021

A Survey of Similarity Measures for Time stamped Temporal Datasets.

Aravind Cheruvu, Vangipuram Radhakrishna

Proceedings of the DATA'21: International Conference on Data Science, 2021

Similarity Association Pattern Mining in Transaction Databases.

M. S. B. PhridviRaj, C. V. Guru Rao, Vangipuram Radhakrishna, Aravind Cheruvu

Proceedings of the DATA'21: International Conference on Data Science, 2021

2020

GARUDA: Gaussian dissimilarity measure for feature representation and anomaly detection in Internet of things.

Shadi A. Aljawarneh, Vangipuram Radhakrishna

J. Supercomput., 2020

VRKSHA: a novel tree structure for time-profiled temporal association mining.

Shadi A. Aljawarneh, Vangipuram Radhakrishna, Aravind Cheruvu

Neural Comput. Appl., 2020

A machine learning approach for imputation and anomaly detection in IoT environment.

Vangipuram Radhakrishna, Gunupudi Rajesh Kumar, Puligadda Veereswara Kumar, Vinjamuri Janaki

Expert Syst. J. Knowl. Eng., 2020

Similarity Based Feature Transformation for Network Anomaly Detection.

Arun Nagaraja, Uma Boregowda, Khalaf Khatatneh, Vangipuram Radhakrishna, Rajasekhar Nuvvusetty, Sravan kiran Vangipuram

IEEE Access, 2020

2019

ASTRA - A Novel interest measure for unearthing latent temporal associations and trends through extending basic gaussian membership function.

Vangipuram Radhakrishna, Shadi A. Aljawarneh, Puligadda Veereswara Kumar, Vinjamuri Janaki

Multim. Tools Appl., 2019

GANDIVA: Temporal Pattern Tree for Similarity Profiled Association Mining.

Vangipuram Radhakrishna, Puligadda Veereswara Kumar, Vinjamuri Janaki

Int. J. Inf. Technol. Web Eng., 2019

2018

A novel fuzzy gaussian-based dissimilarity measure for discovering similarity temporal association patterns.

Vangipuram Radhakrishna, Shadi A. Aljawarneh, Puligadda Veereswara Kumar, Kim-Kwang Raymond Choo

Soft Comput., 2018

SRIHASS - a similarity measure for discovery of hidden time profiled temporal associations.

Vangipuram Radhakrishna, Puligadda Veereswara Kumar, Vinjamuri Janaki

Multim. Tools Appl., 2018

A novel fuzzy similarity measure and prevalence estimation approach for similarity profiled temporal association pattern mining.

Vangipuram Radhakrishna, Shadi A. Aljawarneh, Puligadda Veereswara Kumar, Vinjamuri Janaki

Future Gener. Comput. Syst., 2018

Kaala vrksha: extending vrksha for time profiled temporal association mining.

Vangipuram Radhakrishna, Shadi A. Aljawarneh, Puligadda Veereswara Kumar, Aravind Cheruvu

Proceedings of the First International Conference on Data Science, 2018

Mantra: a novel imputation measure for disease classification and prediction.

Shadi A. Aljawarneh, Vangipuram Radhakrishna, Gali Suresh Reddy

Proceedings of the First International Conference on Data Science, 2018

Ultimate: unearthing latent time profiled temporal associations.

Shadi A. Aljawarneh, Vangipuram Radhakrishna, John William Atwood

Proceedings of the First International Conference on Data Science, 2018

2017

G-SPAMINE: An approach to discover temporal association patterns and trends in internet of things.

Shadi A. Aljawarneh, Vangipuram Radhakrishna, Puligadda Veereswara Kumar, Vinjamuri Janaki

Future Gener. Comput. Syst., 2017

2016

A Novel Similar Temporal System Call Pattern Mining for Efficient Intrusion Detection.

Vangipuram Radhakrishna, Puligadda Veereswara Kumar, Vinjamuri Janaki

J. Univers. Comput. Sci., 2016

A Novel Gaussian Based Similarity Measure for Clustering Customer Transactions Using Transaction Sequence Vector.

M. S. B. Phridvi Raj, Vangipuram Radhakrishna, C. V. Guru Rao

CoRR, 2016

A Novel Approach for Mining Similarity Profiled Temporal Association Patterns.

Vangipuram Radhakrishna, Puligadda Veereswara Kumar, Vinjamuri Janaki

CoRR, 2016

Design and Analysis of Novel Kernel Measure for Software Fault Localization.

Vangipuram Radhakrishna

CoRR, 2016

Mining Outlier Temporal Association Patterns.

Vangipuram Radhakrishna, Puligadda Veereswara Kumar, Vinjamuri Janaki

ICTCS, 2016

A Single Database Scan Approach for Mining Temporally Similar Association Patterns.

Vangipuram Radhakrishna, Puligadda Veereswara Kumar, Vinjamuri Janaki

ICTCS, 2016

2015

A Novel Similarity Measure for Clustering Customer Transactions Using Ternary Sequence Vector.

M. S. B. PhridviRaj, Vangipuram Radhakrishna, K. Vinay Kumar, C. V. Guru Rao

Proceedings of the Artificial Intelligence Perspectives and Applications, 2015

2014

Clustering and Classification of Software Component for Efficient Component Retrieval and Building Component Reuse Libraries.

Chintakindi Srinivas, Vangipuram Radhakrishna, C. V. Guru Rao

Proceedings of the Second International Conference on Information Technology and Quantitative Management, 2014

A modified Gaussian similarity measure for clustering software components and documents.

Vangipuram Radhakrishna, Chintakindi Srinivas, C. V. Guru Rao

Proceedings of the ISDOC 2014, 2014

2013

Document Clustering Using Hybrid XOR Similarity Function for Efficient Software Component Reuse.

Vangipuram Radhakrishna, Chintakindi Srinivas, C. V. Guru Rao

Proceedings of the First International Conference on Information Technology and Quantitative Management, 2013

Clustering Software Components for Component Reuse and Program Restructuring.

Chintakindi Srinivas, Vangipuram Radhakrishna, C. V. Guru Rao

Proceedings of the 2013 The Second International Conference on Innovative Computing and Cloud Computing, 2013