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ORCID10th BDA 2022: Hyderabad, India
- Partha Pratim Roy
, Arvind Agarwal, Tianrui Li, P. Krishna Reddy, R. Uday Kiran:
Big Data Analytics - 10th International Conference, BDA 2022, Hyderabad, India, December 19-22, 2022, Proceedings. Lecture Notes in Computer Science 13773, Springer 2022, ISBN 978-3-031-24093-5
Big Data Analytics: Vision and Perspectives
- Raj Sharman:
Data Challenges and Societal Impacts - The Case in Favor of the Blueprint for an AI Bill of Rights (Keynote Remarks). 3-15 - Kamalaker Dadi, Bapi Raju Surampudi:
Big Data in Cognitive Neuroscience: Opportunities and Challenges. 16-30
Data Science: Architectures
- Rajendra Kumar Roul, Gaurav Satyanath:
A Novel Feature Selection Based Text Classification Using Multi-layer ELM. 33-52 - Vijaya Peketi, Surekha Satti:
ARCORE: A Requirements Dataset for Service Identification. 53-67 - Shobhan Kumar, Arun Chauhan, C. Pavan Kumar:
Learning Enhancement Using Question-Answer Generation for e-Book Using Contrastive Fine-Tuned T5. 68-87
Data Science: Applications
- Kannan Kumaran, Pramod Pathak, Rejwanul Haque, Paul Stynes:
A Machine and Deep Learning Framework to Retain Customers Based on Their Lifetime Value. 91-103 - Ashutosh Kumar, Santosh Singh Rathore:
A Deep Learning Based Approach to Automate Clinical Coding of Electronic Health Records. 104-116 - Shruti Srivatsan, Sumneet Kaur Bamrah, K. S. Gayathri:
Determining the Severity of Dementia Using Ensemble Learning. 117-135 - Bineetha Vijayan, Gayathri Soman, M. V. Vivek, M. V. Judy:
A Distributed Ensemble Machine Learning Technique for Emotion Classification from Vocal Cues. 136-145
Graph Analytics
- Asoke K. Talukder, Erwin Selg, Ryan Fernandez, Tony D. S. Raj, Abijeet Waghmare, Roland E. Haas:
Drugomics: Knowledge Graph & AI to Construct Physicians' Brain Digital Twin to Prevent Drug Side-Effects and Patient Harm. 149-158 - R. B. Saranya, Ramesh Kesavan, K. Nisha Devi:
Extremely Randomized Tree Based Sentiment Polarity Classification on Online Product Reviews. 159-171 - Siqi Chen, Raj Bhatnagar:
Community Detection in Large Directed Graphs. 172-181
Pattern Mining
- Philippe Fournier-Viger, Yuechun Li, M. Saqib Nawaz, Yulin He:
FastTIRP: Efficient Discovery of Time-Interval Related Patterns. 185-199 - Palla Likhitha, Penugonda Ravikumar, Rage Uday Kiran, Yutaka Watanobe:
Discovering Top-k Periodic-Frequent Patterns in Very Large Temporal Databases. 200-210 - Khaled Belghith, Philippe Fournier-Viger, Jassem Jawadi:
Hui2Vec: Learning Transaction Embedding Through High Utility Itemsets. 211-224
Predictive Analytics in Agriculture
- Rohit Patel, Inavamsi Enaganti, Mayank Ratan Bhardwaj, Y. Narahari:
A Data-Driven, Farmer-Oriented Agricultural Crop Recommendation Engine (ACRE). 227-248 - Pragneshkumar Patel, Sanjay Chaudhary, Hasit Parmar:
Analyze the Impact of Weather Parameters for Crop Yield Prediction Using Deep Learning. 249-259 - Mamatha Alugubelly, Krishna Reddy Polepalli, Anirban Mondal, S. G. Mahadevappa, Balaji Naik Banoth, Gade Sreenivas:
Analysis of Weather Condition Based Reuse Among Agromet Advisory: A Validation Study. 260-278
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