Clustering Software Components for Component Reuse and Program Restructuring. - Chintakindi Srinivas; Vangipuram Radhakrishna; C. V. Guru Rao (ICCC, 2013)

Document Clustering Using Hybrid XOR Similarity Function for Efficient Software Component Reuse. - Vangipuram Radhakrishna; Chintakindi Srinivas; C. V. Guru Rao (ITQM, 2013)

A modified Gaussian similarity measure for clustering software components and documents. - Vangipuram Radhakrishna; Chintakindi Srinivas; C. V. Guru Rao (ISDOC, 2014)

Clustering and Classification of Software Component for Efficient Component Retrieval and Building Component Reuse Libraries. - Chintakindi Srinivas; Vangipuram Radhakrishna; C. V. Guru Rao (ITQM, 2014)

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 (CSOC (1), 2015)

A Single Database Scan Approach for Mining Temporally Similar Association Patterns. - Vangipuram Radhakrishna; Puligadda Veereswara Kumar; Vinjamuri Janaki (ICTCS, 2016)

Mining Outlier Temporal Association Patterns. - Vangipuram Radhakrishna; Puligadda Veereswara Kumar; Vinjamuri Janaki (ICTCS, 2016)

Design and Analysis of Novel Kernel Measure for Software Fault Localization. - Vangipuram Radhakrishna (CoRR, 2016)

A Novel Approach for Mining Similarity Profiled Temporal Association Patterns. - Vangipuram Radhakrishna; Puligadda Veereswara Kumar; Vinjamuri Janaki (CoRR, 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 Similar Temporal System Call Pattern Mining for Efficient Intrusion Detection. - Vangipuram Radhakrishna; Puligadda Veereswara Kumar; Vinjamuri Janaki (J. Univers. Comput. Sci., 2016)

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)

Ultimate: unearthing latent time profiled temporal associations. - Shadi A. Aljawarneh; Vangipuram Radhakrishna; John William Atwood (DATA, 2018)

Mantra: a novel imputation measure for disease classification and prediction. - Shadi A. Aljawarneh; Vangipuram Radhakrishna; Gali Suresh Reddy (DATA, 2018)

Kaala vrksha: extending vrksha for time profiled temporal association mining. - Vangipuram Radhakrishna; Shadi A. Aljawarneh; Puligadda Veereswara Kumar; Aravind Cheruvu (DATA, 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)

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 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)

GANDIVA: Temporal Pattern Tree for Similarity Profiled Association Mining. - Vangipuram Radhakrishna; Puligadda Veereswara Kumar; Vinjamuri Janaki (Int. J. Inf. Technol. Web Eng., 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)

Similarity Based Feature Transformation for Network Anomaly Detection. - Arun Nagaraja; Uma Boregowda; Khalaf Khatatneh; Vangipuram Radhakrishna; Rajasekhar Nuvvusetty; Sravan kiran Vangipuram (IEEE Access, 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)

VRKSHA: a novel tree structure for time-profiled temporal association mining. - Shadi A. Aljawarneh; Vangipuram Radhakrishna; Aravind Cheruvu (Neural Comput. Appl., 2020)

GARUDA: Gaussian dissimilarity measure for feature representation and anomaly detection in Internet of things. - Shadi A. Aljawarneh; Vangipuram Radhakrishna (J. Supercomput., 2020)

Similarity Association Pattern Mining in Transaction Databases. - M. S. B. PhridviRaj; C. V. Guru Rao; Vangipuram Radhakrishna; Aravind Cheruvu (DATA, 2021)

A Survey of Similarity Measures for Time stamped Temporal Datasets. - Aravind Cheruvu; Vangipuram Radhakrishna (DATA, 2021)

Study of Detection of DDoS attacks in cloud environment Using Regression Analysis. - Arun Nagaraja; Uma Boregowda; Vangipuram Radhakrishna (DATA, 2021)

Regression analysis for network intrusion detection. - Arun Nagaraja; Uma Boregowda; Vangipuram Radhakrishna (DATA, 2021)

Fuzzy Feature Similarity Functions for Feature Clustering and Dimensionality Reduction. - Arun Nagaraja; Uma Boregowda; Vangipuram Radhakrishna (DATA, 2021)

Design of Gaussian Similarity Measure for Network Anomaly Detection. - Arun Nagaraja; Uma Boregowda; Vangipuram Radhakrishna; Rajeshkumar Gunupudi (DATA, 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)

CLOUD ATTACK DATASET. - Laxmi Pranitha Rachamalla; Anusha Akkidasari; Sandhya Madiga; Harshitha Mittapalli; Vangipuram Radhakrishna (IEEE DataPort, 2021)

DDoS Attack Dataset. - Raghupathi Manthena; Vangipuram Radhakrishna (IEEE DataPort, 2023)