World of Business with Data and Analytics /
This book covers research work spanning the breadth of ventures, a variety of challenges and the finest of techniques used to address data and analytics, by subject matter experts from the business world. The content of this book highlights the real-life business problems that are relevant to any in...
| Main Authors: | , |
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| Format: | software, multimedia |
| Language: | eng |
| Published: |
Singapore : Springer,
2022
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| Subjects: | |
| Online Access: | http://repository.library.utm.my/id/eprint/5629 |
| _version_ | 1826473097918676992 |
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| author | Sharma, Neha, editor 654932 Bhatavdekar, Mandar, editor 654933 |
| author_facet | Sharma, Neha, editor 654932 Bhatavdekar, Mandar, editor 654933 |
| author_sort | Sharma, Neha, editor 654932 |
| collection | OCEAN |
| description | This book covers research work spanning the breadth of ventures, a variety of challenges and the finest of techniques used to address data and analytics, by subject matter experts from the business world. The content of this book highlights the real-life business problems that are relevant to any industry and technology environment. This book helps us become a contributor to and accelerator of artificial intelligence, data science and analytics, deploy a structured life-cycle approach to data related issues, apply appropriate analytical tools & techniques to analyze data and deliver solutions with a difference. It also brings out the story-telling element in a compelling fashion using data and analytics. This prepares the readers to drive quantitative and qualitative outcomes and apply this mindset to various business actions in different domains such as energy, manufacturing, health care, BFSI, security, etc. |
| first_indexed | 2024-03-05T17:28:06Z |
| format | software, multimedia |
| id | KOHA-OAI-TEST:609222 |
| institution | Universiti Teknologi Malaysia - OCEAN |
| language | eng |
| last_indexed | 2024-12-08T04:39:08Z |
| publishDate | 2022 |
| publisher | Singapore : Springer, |
| record_format | dspace |
| spelling | KOHA-OAI-TEST:6092222024-11-16T02:32:28ZWorld of Business with Data and Analytics / Sharma, Neha, editor 654932 Bhatavdekar, Mandar, editor 654933 software, multimedia Electronic books 631902 Singapore : Springer,2022engThis book covers research work spanning the breadth of ventures, a variety of challenges and the finest of techniques used to address data and analytics, by subject matter experts from the business world. The content of this book highlights the real-life business problems that are relevant to any industry and technology environment. This book helps us become a contributor to and accelerator of artificial intelligence, data science and analytics, deploy a structured life-cycle approach to data related issues, apply appropriate analytical tools & techniques to analyze data and deliver solutions with a difference. It also brings out the story-telling element in a compelling fashion using data and analytics. This prepares the readers to drive quantitative and qualitative outcomes and apply this mindset to various business actions in different domains such as energy, manufacturing, health care, BFSI, security, etc.Chapter 1. Dynamic Demand Planning for Distorted Historical Data Due to Pandemic -- Chapter 2. Cognitive Models to Predict Pipeline Leaks and Ruptures -- Chapter 3. Network Optimization of the Electricity Grid to manage Distributed Energy Resources using Data & Analytics -- Chapter 4. Enhancing Market Agility Through Accurate Price Indicators using Contextualized Data Analytics -- Chapter 5. Infrastructure for Automated Surface Damage Classification and Detection in Production industries using ResUNet based Deep Learning Architecture -- Chapter 6. Cardiac Arrhythmias Classification & Detection for Medical Industry Using Wavelet Transformation & Probabilistic Neural Network Architecture -- Chapter 7. Investor Behavior towards Mutual Fund -- Chapter 8. iMask : An Artificial Intelligence Based Redaction Engine -- Chapter 9. Artificial Intelligence for Proactive Vulnerability Prediction and interpretability using Occlusion -- Chapter 10. Intrusion Detection System using Signature based Detection and Data Mining Technique. Chapter 11. Cloud Cost Intelligence using Machine Learning -- Chapter 12. Mining deeper Insights using Unsupervised NLP -- Chapter 13. Explainable AI for ML OPSThis book covers research work spanning the breadth of ventures, a variety of challenges and the finest of techniques used to address data and analytics, by subject matter experts from the business world. The content of this book highlights the real-life business problems that are relevant to any industry and technology environment. This book helps us become a contributor to and accelerator of artificial intelligence, data science and analytics, deploy a structured life-cycle approach to data related issues, apply appropriate analytical tools & techniques to analyze data and deliver solutions with a difference. It also brings out the story-telling element in a compelling fashion using data and analytics. This prepares the readers to drive quantitative and qualitative outcomes and apply this mindset to various business actions in different domains such as energy, manufacturing, health care, BFSI, security, etc.Data miningBusinesshttp://repository.library.utm.my/id/eprint/5629URN:ISBN:9789811956898 |
| spellingShingle | Data mining Business Sharma, Neha, editor 654932 Bhatavdekar, Mandar, editor 654933 World of Business with Data and Analytics / |
| title | World of Business with Data and Analytics / |
| title_full | World of Business with Data and Analytics / |
| title_fullStr | World of Business with Data and Analytics / |
| title_full_unstemmed | World of Business with Data and Analytics / |
| title_short | World of Business with Data and Analytics / |
| title_sort | world of business with data and analytics |
| topic | Data mining Business |
| url | http://repository.library.utm.my/id/eprint/5629 |
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