Data science and data analytics : opportunities and challenges
Bibliographische Detailangaben
- Titel
- Data science and data analytics opportunities and challenges
- verantwortlich
- Ausgabe
- 1st
- veröffentlicht
- Erscheinungsjahr
- 2021
- Medientyp
- E-Book
- Datenquelle
- British National Bibliography
- Tags
- Tag hinzufügen
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Inhaltsangabe:
- <P><STRONG>Section I: Introduction about Data Science and Data Analytics</STRONG></P><P>1. Data Science and Data Analytics: Artificial Intelligence and Machine Learning Integrated Based Approach</P><I><P>Sumika Chauhan, Manmohan Singh, and Ashwani Kumar Aggarwal</P></I><P>2. IoT Analytics/Data Science for IoT</P><I><P>T. Perarasi, R. Gayathri, M. Leeban Moses, and B. Vinoth</P></I><P>3. A Model to Identify Agriculture Production Using Data Science Techniques</P><I><P>D. Anantha Reddy, Sanjay Kumar, and Rakesh Tripathi</P></I><P>4. Identification and Classification of Paddy Crop Diseases Using Big Data Machine Learning Techniques</P><I><P>Anisha P. Rodrigues, Joyston Menezes, Roshan Fernandes, Aishwarya, Niranjan N. Chiplunkar, and Vijaya Padmanabha</P></I><B><P>Section II Algorithms, Methods, and Tools for Data Science and Data Analytics</P></B><P>5. Crop Models and Decision Support Systems Using Machine Learning</P><I><P>B. Vignesh and G. Suganya</P></I><P>6. An Ameliorated Methodology to Predict Diabetes Mellitus Using Random Forest</P><I><P>Arunakumari B. N., Aman Rai, and Shashidhar R.</P></I><P>7. High Dimensionality Dataset Reduction Methodologies in Applied Machine Learning</P><I><P>Farhan Hai Khan and Tannistha Pal</P></I><P>8. Hybrid Cellular Automata Models for Discrete Dynamical Systems</P><I><P>Sreeya Ghosh and Sumita Basu</P></I><P>9. An Efficient Imputation Strategy Based on Adaptive Filter for Large Missing Value Datasets</P><I><P>S. Radhika, A. Chandrasekar, and Felix Albu</P></I><P>10. An Analysis of Derivative-Based Optimizers on Deep Neural Network Models</P><I><P>Aruna Pavate and Rajesh Bansode</P></I><B><P>Section III: Applications of Data Science and Data Analytics</P></B><P>11. Wheat Rust Disease Detection Using Deep Learning</P><I><P>Sudhir Kumar Mohapatra, Srinivas Prasad, and Sarat Chandra Nayak</P></I><P>12. A Novel Data Analytics and Machine Learning Model towards Prediction and Classification of Chronic Obstructive Pulmonary Disease</P><I><P>Sridevi U. K., Sophia S., Boselin Prabhu S.R., Zubair Baig, and P. Thamaraiselvi</P></I><P>13. A Novel Multimodal Risk Disease Prediction of Coronavirus by Using Hierarchical LSTM Methods</P><I><P>V. Kakulapati, BasavaRaju Kachapuram, Appiah Prince, and P. Shiva Kalyan</P></I><P>14. A Tier-based Educational Analytics Framework</P><I><P>Javed Nazura and Paul Anand</P></I><P>15. Breast Invasive Ductal Carcinoma Classification Based on Deep Transfer Learning Models with Histopathology Images</P><I><P>Saikat Islam Khan, Pulak Kanti Bhowmicka, Nazrul Islama, Mostofa Kamal Nasira, and Jia Uddin</P></I><P>16. Prediction of Acoustic Performance Using Machine Learning Techniques</P><I><P>Ratnavel Rajalakshmi, S. Jeyanthi, Yuvaraj L., Pradeep M., Jeyakrishna S., and Abhishek Krishnaswami</P></I><B><P>Section IV: Issue and Challenges in Data Science and Data Analytics</P></B><P>17. Feedforward Multi-Layer Perceptron Training by Hybridized Method between Genetic Algorithm and Artificial Bee Colony</P><I><P>Aleksa Cuk, Timea Bezdan, Nebojsa Bacanin, Miodrag Zivkovic, K. Venkatachalam, Tarik A. Rashid, and V. Kanchana Devi</P></I><P>18. Algorithmic Trading Using Trend Following Strategy: Evidence from Indian Information Technology Stocks</P><I><P>Molla Ramizur Rahman</P></I><P>19. A Novel Data Science Approach for Business and Decision Making for Prediction of Stock Market Movement Using Twitter Data and News Sentiments</P><I><P>S. Kumar Chandar, Hitesh Punjabi, Mahesh Kumar Sharda, and Jehan Murugadhas</P></I><P>20. Churn Prediction in Banking the Sector</P><I><P>Shreyas Hingmire, Jawwad Khan, Ashutosh Pandey, and Aruna Pavate</P></I><P>21. Machine and Deep Learning Techniques for Internet of Things Based Cloud Systems</P><I><P>Raswitha Bandi and K. Tejaswini</P></I><B><P>Section V: Future Research Opportunities towards Data Science and Data Analytics</P></B><P>22. Dialect Identification of the Bengali Language</P><I><P>Elizabeth Behrman, Arijit Santra, Siladitya Sarkar, Prantik Roy, Ritika Yadav, Soumi Dutta, and Arijit Ghosal</P></I><P>23. Real-Time Security Using Computer Vision</P><I><P>Bijoy Kumar Mandal and Niloy Sarkar</P></I><P>24. Data Analytics for Detecting DDoS Attacks in Network Traffic</P><I><P>Ciza Thomas and Rejimol Robinson R.R.</P></I><P>25. Detection of Patterns in Attributed Graph Using Graph Mining</P><I><P>Bapuji Rao</P></I><P>26. Analysis and Prediction of the Update of Mobile Android Version</P><I><P>Aparna Mohan and R. Maheswari</P></I>