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Titlebook: Data Management, Analytics and Innovation; Proceedings of ICDMA Neha Sharma,Amlan Chakrabarti,Valentina Emilia Bal Conference proceedings 2

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書目名稱Data Management, Analytics and Innovation
副標題Proceedings of ICDMA
編輯Neha Sharma,Amlan Chakrabarti,Valentina Emilia Bal
視頻videohttp://file.papertrans.cn/263/262880/262880.mp4
概述Presents the latest findings in the areas of data management and data analytics.Discusses state-of-the-art topics and discusses challenges and solutions for future development.Offers a valuable refere
叢書名稱Advances in Intelligent Systems and Computing
圖書封面Titlebook: Data Management, Analytics and Innovation; Proceedings of ICDMA Neha Sharma,Amlan Chakrabarti,Valentina Emilia Bal Conference proceedings 2
描述This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.
出版日期Conference proceedings 2020
關(guān)鍵詞Data Exchange; Data Management; ICDMAI Proceedings; ICDMAI 2019; Agricultural Informatics; Community Info
版次1
doihttps://doi.org/10.1007/978-981-32-9949-8
isbn_softcover978-981-32-9948-1
isbn_ebook978-981-32-9949-8Series ISSN 2194-5357 Series E-ISSN 2194-5365
issn_series 2194-5357
copyrightSpringer Nature Singapore Pte Ltd. 2020
The information of publication is updating

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Jun Li,Yifeng Zhou,Louise Lamont (840–960?m) possess stronger correlation coefficient values due to more homogeneity. The autumn or post-monsoon image represents the strongest correlation for LST–NDVI and LST–MNDISI at any resolution levels. The image of winter season reveals the best predictability of LST distribution with the known NDVI and MNDISI values.
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https://doi.org/10.1007/978-1-4419-6172-3tary innovation. The social innovation is accomplished by new innovation. To make a powerful business plan and action, the FinTech and IoT are combined in order to create new innovative ideas based on the requirements.
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ASK Approach: A Pre-migration Approach for Legacy Application Migration to Cloude the legacy application. As it is said that application migration is a journey, if kick-started once, needs to reach its destination else it can result into a disaster hence pre-migration is one of the important areas of migration journey.
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A Fuzzy Logic Based Cardiovascular Disease Risk Level Prediction System in Correlation to Diabetes al in advance. This will not merely save the individual but also an immense relief to concern. The data set is used from UCI (Machine Learning Repository). Most of the researchers worked on diabetes or smoking impact on CVD separately, but the proposed system demonstrates how drastically it will affect ones’ health condition.
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Analyzing Linear Relationships of LST with NDVI and MNDISI Using Various Resolution Levels of Landsa (840–960?m) possess stronger correlation coefficient values due to more homogeneity. The autumn or post-monsoon image represents the strongest correlation for LST–NDVI and LST–MNDISI at any resolution levels. The image of winter season reveals the best predictability of LST distribution with the known NDVI and MNDISI values.
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Banking and FinTech (Financial Technology) Embraced with IoT Devicetary innovation. The social innovation is accomplished by new innovation. To make a powerful business plan and action, the FinTech and IoT are combined in order to create new innovative ideas based on the requirements.
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