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Titlebook: Computational Intelligence for Modern Business Systems; Emerging Application Sandeep Kautish,Prasenjit Chatterjee,Deepmala Sing Book 2024 T

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Improved Machine Learning Prediction Framework for Employees with a Focus on Function Selectioncate an improvement in the F1 score using the “maximum-out” feature selection technique. Finally, through learning the model for many bootstrap datasets, the validity of data is verified. The average deviation of the parameters is then evaluated to verify the confidence and stability of the model pa
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Applications of Data Science and Artificial Intelligence Methodologies in Customer Relationship Mana side. Thus, the CRM system rapidly processes a huge volume of data from the consumer and uploads numerous data from the supplier or manufacturer. In such cases, an efficient way of handling this voluminous data is highly needed. The advent of Data Mining techniques and their rapid growth makes it e
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Personality Prediction System to Improve Employee Recruitmente used in the present recruiting system. The personality of the candidate will not only help the recruiters in the selection but also provide the candidate with a good job role based on his personality. In this chapter, we have come up with a method to evaluate the personality of a candidate using d
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Towards Operation Excellence in Automobile Assembly Analysis Using Hybrid Image Processingogies are at an inflection point, have never been seen before, and definitely can aid in further advancement of business strategies. In this chapter, we discuss one such tool that uses advanced image processing and deep learning algorithms to segment the failure regions from disintegrated automobile
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Computational Intelligence for Modern Business SystemsEmerging Application
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Book 2024sides, this book guides the readers through using them to model, discover, and interpret new patterns that cannot be found through statistical methods alone in various business system operations. This book reveals how computational intelligence can inform the design and integration of services, arch
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2730-9061 ew patterns that cannot be found through statistical methods alone in various business system operations. This book reveals how computational intelligence can inform the design and integration of services, arch978-981-99-5356-1978-981-99-5354-7Series ISSN 2730-9061 Series E-ISSN 2730-907X
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Computational Intelligence for Modern Business Systems978-981-99-5354-7Series ISSN 2730-9061 Series E-ISSN 2730-907X
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