Titlebook: Advances in Applications of Data-Driven Computing; Jagdish Chand Bansal,Lance C. C. Fung,Ankush Ghosh Book 2021 The Editor(s) (if applicab

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https://doi.org/10.1007/978-3-322-80848-6ture of stock market data that helps in understanding price trends. LDMcould be used as a market indicator than a predictive model. The prediction accuracy of LDM is more except during major national, international eventsandduringCOVID-19period.

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Andrea Maria Dederichs,Michael Florianct and extract feature words frequently, and therefore, features and sentimental words are necessary to extract the orientation detection. Finally, for the grouping of contraception procedures, we use data science hierarchical agglomerative clustering algorithm.

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Book 2021cations of Artificial intelligence (AI)-based systems play a significant role in today’s software industry. The sensors data from hardware-based systems making a mammoth database, increasing day by day. Recent advances in big data generation and management have created an avenue for decision-makers

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https://doi.org/10.1007/978-3-322-80848-6 achieving good accuracy with less data is a herculean task. So, in this chapter, the emotion drafted in multiple sentences is figured out with less amount of data, which also contains some symbols used in the modern era for the communication of information.

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978-981-33-6918-4The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor

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https://doi.org/10.1007/978-3-476-01379-8r requests and due profit, load balancing is of utmost importance for proper resource utilization in cloud data centers. A robust and scalable system that can grow and shrink according to the number and size of application saves both power of data center and availability commitment of vendor. The pr