Search Results - "Radhakrishna, Vangipuram"

GARUDA: Gaussian dissimilarity measure for feature representation and anomaly detection in Internet of things by Aljawarneh, Shadi A., Vangipuram, Radhakrishna

“…The objective of any anomaly detection system is to efficiently detect several types of malicious traffic patterns that cannot be detected by conventional…”
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G-SPAMINE: An approach to discover temporal association patterns and trends in internet of things by Aljawarneh, Shadi A., Vangipuram, Radhakrishna, Puligadda, Veereswara Kumar, Vinjamuri, Janaki

“…Temporal data is one of the most common form of data in internet of things. Data from various sources such as sensors, smart phones, smart homes and smart…”
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ASTRA - A Novel interest measure for unearthing latent temporal associations and trends through extending basic gaussian membership function by Radhakrishna, Vangipuram, Aljawarneh, Shadi A., Veereswara Kumar, Puligadda, Janaki, Vinjamuri

“…Time profiled association mining is one of the important and challenging research problems that is relatively less addressed. Time profiled association mining…”
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Ultimate: Unearthing Latent Time Profiled Temporal Associations by Aljawarneh, Shadi A., Radhakrishna, Vangipuram, Atwood, John William

“…Discovery of temporal association patterns, temporal association rules from temporal databases is extensively studied by academic research community and…”
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SRIHASS - a similarity measure for discovery of hidden time profiled temporal associations by Radhakrishna, Vangipuram, Veereswara Kumar, Puligadda, Janaki, Vinjamuri

“…Mining and visualization of time profiled temporal associations is an important research problem that is not addressed in a wider perspective and is…”
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Comparative Analysis of Machine-Learning Algorithms for Accurate Diagnosis of Lung Diseases Using Chest X-ray Images: A Study on Balanced and Unbalanced Data on Segmented and Unsegmented Images by Jasthy, Sreedevi, Ramasubramanian, Krishnamurthy, Vangipuram, Radhakrishna, Bollu, Satyanarayana

“…The study focused on the accurate diagnosis of lung diseases, considering the high number of lung disease-related deaths in the world. Chest x-ray images were…”
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A Systematic Review and Analysis on Deep Learning Techniques Used in Diagnosis of Various Categories of Lung Diseases by Jasthy, Sreedevi, Vangipuram, Radhakrishna, Dutta, Sushama Rani

“…One of the record killers in the world is lung disease. Lung disease denotes to many disorders affecting the lungs. These diseases can be identified through…”
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Similarity Based Feature Transformation for Network Anomaly Detection by Nagaraja, Arun, Boregowda, Uma, Khatatneh, Khalaf, Vangipuram, Radhakrishna, Nuvvusetty, Rajasekhar, Sravan Kiran, V.

“…The fundamental objective behind any network intrusion detection system is to automate the detection process whenever intrusions occur in the network. The…”
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Krishna Sudarsana—A Z-Space Interest Measure for Mining Similarity Profiled Temporal Association Patterns by Vangipuram, Radhakrishna, Kumar, P. V., Janaki, Vinjamuri, Aljawarneh, Shadi. A., Lara, Juan A., Khatatneh, Khalaf

“…Similarity profiled association mining from time stamped transaction databases is an important topic of research relatively less addressed in the field of…”
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Design and Analysis of Novel Kernel Measure for Software Fault Localization by Radhakrishna, Vangipuram

“…The problem of software fault localization may be viewed as an approach for finding hidden faults or bugs in the existing program codes which are syntactically…”
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A novel fuzzy similarity measure and prevalence estimation approach for similarity profiled temporal association pattern mining by Radhakrishna, Vangipuram, Aljawarneh, Shadi A., Kumar, P.V., Janaki, V.

“…Data generated from Sensors, IoT environment and many real time applications is mainly spatial, temporal, or spatio-temporal. Some of them include data…”
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A novel fuzzy gaussian-based dissimilarity measure for discovering similarity temporal association patterns by Radhakrishna, Vangipuram, Aljawarneh, Shadi A., Kumar, Puligadda Veereswara, Choo, Kim-Kwang Raymond

“…Mining temporal association patterns from time-stamped temporal databases, first introduced in 2009, remain an active area of research. A pattern is temporally…”
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A machine learning approach for imputation and anomaly detection in IoT environment by Vangipuram, Radhakrishna, Gunupudi, Rajesh Kumar, Puligadda, Veereswara Kumar, Vinjamuri, Janaki

“…The problem of anomaly and attack detection in IoT environment is one of the prime challenges in the domain of internet of things that requires an immediate…”
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An Efficient Approach to find Similar Temporal Association Patterns Performing Only Single Database Scan

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Design and analysis of a novel temporal dissimilarity measure using Gaussian membership function by Radhakrishna, Vangipuram, Kumar, P. V., Aljawarneh, Shadi A., Janaki, V.

“…Earlier research works addressing the problem of mining time profiled temporal association patterns did not address the possibility of using new similarity…”
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Looking into the possibility for designing normal distribution based dissimilarity measure to discover time profiled association patterns by Radhakrishna, Vangipuram, Aljawarneh, Shadi A., Janaki, Vinjamuri, Kumar, P. V.

“…This research addresses the design of a novel dissimilarity measure for mining similar patterns from time stamped temporal databases applying the concept of…”
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A similarity measure for temporal pattern discovery in time series data generated by IoT by Aljawarneh, Shadi, Radhakrishna, Vangipuram, Kumar, Puligadda Veereswara, Janaki, Vinjamuri

“…Internet of Things implicitly generates myriads of temporal data. Unlocking such temporal data becomes a huge concern. Discovery and prediction of repeating…”
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Looking into the possibility of novel dissimilarity measure to discover similarity profiled temporal association patterns in IoT by Radhakrishna, Vangipuram, Kumar, Puligadda Veereswara, Janaki, Vinjamuri

“…The main objective is to address the possibility of designing a similarity measure and using the same to find temporal similarity between patterns in temporal…”
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Mining of outlier temporal patterns by Radhakrishna, Vangipuram, Kumar, Puligadda Veereswara, Janaki, Vinjamuri

“…Outlier temporal pattern mining problem is the study and discovery of abnormal, invalid, anomalous temporal patterns in a given temporal database. In this…”
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A computationally optimal approach for extracting similar temporal patterns by Radhakrishna, Vangipuram, Kumar, Puligadda Veereswara, Janaki, Vinjamuri

“…Determining similar temporal patterns and unearthing eccentric patterns require an efficient similarity measure and approach for association patterns support…”
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