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Springer Sustainable Innovations In Statistics And Data Science
Springer Sustainable Innovations In Statistics And Data Science

Springer Sustainable Innovations In Statistics And Data Science

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Sustainable Innovations in Statistics and Data ScienceFirst International Conference, SISD 2025, Bangalore, India, March 2728, 2025, Revised Selected Papers\nAuthor(s): Apash Roy, Dalwin Vinoth Kumar, Jeevanand Edavazhikkal Sarvothama Shenoi, Rajesh Ramachandran, Rupali Sunil Wagh, Saleema Janardhanan Subramanian\nFormat: Paperback\nPublisher: Springer Nature Switzerland AG, Switzerland\nImprint: Springer Nature Switzerland AG\nISBN-13: 9783032299413, 978-3032299413\nSynopsis\nThis book consistutes the revised selected papers of the First International Conference on Sustainable Innovations in Statistics and Data Science, SISD 2025, held in Bangalore, India, during March 27-28, 2025.\n\nThe 23 papers included in these proceedings were carefully reviewed and selected from 264 submissions. The research presented covers a broad spectrum of themes, including statistical modeling, artificial intelligence, machine learning, health analytics, financial analytics, climate informatics, and sus.

Springer Sustainable Innovations In Statistics And Data Science

Sustainable Innovations in Statistics and Data ScienceFirst International Conference, SISD 2025, Bangalore, India, March 2728, 2025, Revised Selected Papers\nAuthor(s): Apash Roy, Dalwin Vinoth Kumar, Jeevanand Edavazhikkal Sarvothama Shenoi, Rajesh Ramachandran, Rupali Sunil Wagh, Saleema Janardhanan Subramanian\nFormat: Paperback\nPublisher: Springer Nature Switzerland AG, Switzerland\nImprint: Springer Nature Switzerland AG\nISBN-13: 9783032299413, 978-3032299413\nSynopsis\nThis book consistutes the revised selected papers of the First International Conference on Sustainable Innovations in Statistics and Data Science, SISD 2025, held in Bangalore, India, during March 27-28, 2025.\n\nThe 23 papers included in these proceedings were carefully reviewed and selected from 264 submissions. The research presented covers a broad spectrum of themes, including statistical modeling, artificial intelligence, machine learning, health analytics, financial analytics, climate informatics, and sus.

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