An effective practices, strategies and technologies in the service industry to increase customer loyalty using map indicator

Geetha, G.; Safa, M.; Saranya, G.; Subburaj, R.

doi:10.1109/iciota.2017.8073607

Cited by 12 publications

(2 citation statements)

References 3 publications

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“…Therefore, it is anticipated that improved modelling methodologies, sophisticated machine learning techniques, and increased data resources would enhance the effectiveness of current forecasting algorithms. Health research downplays the significance of multiple data processing techniques [10] despite being warned that these developments will outline their benefits and drawbacks [11] and reiterating the difficulties and problems with health record processing technique [12,13]. Longstanding research interests include the forecasting of cardiovascular risk using medical information [14,15].…”

Section: Literature Reviewmentioning

confidence: 99%

Fuzzy Rule Based- Model for Proficient Heart Disease Prediction in Data Lake

Mani,

Munusamy

2023

RIA

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Cardiovascular diseases remain the leading cause of mortality on a global scale. Currently, healthcare organizations are shifting their operational strategies to enhance efficiency and reduce costs. For this transition, the integration of analytics into IT strategy is imperative. Data lakes, which aggregate data from multiple sources and employ analytical models, provide an innovative approach to information management, reporting, and predictive analytics. These models enable the production of advanced analytical insights, the implementation of evidence-based care plans, and the improvement of patient engagement outcomes, thus setting the stage for IoT-based prognostic systems aimed at reducing mortality rates. The present research proposes a comprehensive data analysis for the prognosis of coronary heart disease, a task that poses considerable challenges due to the volume of data across various disciplines and the complexity involved in analyzing, extracting, managing, and configuring data with massive data technologies and tools. To tackle this challenge, a multi-level fuzzy rule generation is suggested for identifying the features used in heart disease prediction. These features are then trained using an optimized recurrent neural network. The features are classified into labeled classes based on the risk assessment of a medical professional, enabling the prediction of the class based on risk. Early diagnosis and treatment are thus facilitated. When benchmarked against traditional systems, the proposed approach demonstrates superior performance, validating its potential for efficient heart disease prediction.

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Section: Literature Reviewmentioning

confidence: 99%

Fuzzy Rule Based- Model for Proficient Heart Disease Prediction in Data Lake

Mani,

Munusamy

2023

RIA

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“…Such mobile applications for internal software can be used to facilitate work. Companies use Customer relationship management software (CRM) to provide customers services at the demanded quality and time necessary to ensure customer loyalty (Geetha et al, 2017). Since there is a rising number of mobile knowledge workers, that means knowledge workers who work remotely or on terrain, mobile apps seem to be a promising tool to enable them to collaborate (Francisco & Klein, 2020).…”

Section: Theoretical Backgroundmentioning

confidence: 99%

KNOWCON 2022. Knowledge on Economics and Management: Conference Proceedings

2022

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Millennials are a generation of people who will soon become the main purchasing power. These are people born approximately between 1980 and 2000. The aim of the article is to find out how the shopping of products has changed by millennials in connection with the COVID-19 pandemic. We were interested in whether the quantity of purchased products changed during the pandemic and whether the composition of the shopping cart of consumers aged from 22 to 42 years changed. The research was conducted using a questionnaire method. At the end of the article, based on the results of the research, we will propose recommendations for retailers aimed at millennials in case of possible future changes in consumer behaviour due to unexpected situations.

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RETRACTED ARTICLE: Intelligent Big Data Analytics Model for Efficient Cardiac Disease Prediction with IoT Devices in WSN Using Fuzzy Rules

Safa

Pandian

2021

Wireless Pers Commun

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An effective practices, strategies and technologies in the service industry to increase customer loyalty using map indicator

Cited by 12 publications

References 3 publications

Fuzzy Rule Based- Model for Proficient Heart Disease Prediction in Data Lake

Fuzzy Rule Based- Model for Proficient Heart Disease Prediction in Data Lake

KNOWCON 2022. Knowledge on Economics and Management: Conference Proceedings

RETRACTED ARTICLE: Intelligent Big Data Analytics Model for Efficient Cardiac Disease Prediction with IoT Devices in WSN Using Fuzzy Rules

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