Data science is an emerging field encompassing processes and systems for extracting knowledge and insights from data. With its interdisciplinary approach that combines aspects of statistics, computer science, data mining, applied mathematics, predictive analytics and visualization, data science aims to turn vast amounts of data into actionable evidence.
The Department of Data Science of BDU aims to train students in the rapidly growing field of Data Science, to be vibrant research hub in this area and interact with other disciplines to evaluate, analyse and utilize the vast amounts of scientific, social and financial data streaming in every second. Our research areas
In addition, our work develops around several application domains, that cover the multitude and variety of modern Data sources:
The platform can host both traditional, virtualization-based services and modern micro-service architectures that use Docker containers. In particular, we have developed the concept of analytics-as-a-service, that let our users focus on their data science challenges, rather than on low-level intricacies of distributed data management systems
To know more on DS BDU, please navigate through the links.
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1 | Bangla_MER: A Unique Dataset for Bangla Mathematical Entity Recognition in Data in Brief ,2024 |
2 | Recognition of Data Breach Method from Story Using Advanced Deep Learning in 3rd INTERNATIONAL CONFERENCE ON INNOVATION IN TECHNOLOGY ,2024 |
3 | Analysis of Public Sentiment on Dhaka Metro Rail with Transformer Based Architectures in 26th International Conference on Computer and Information Technology (ICCIT) ,2024 [Paper Link] |
4 | An ensemble novel architecture for Bangla Mathematical Entity Recognition (MER) using transformer based learning in Heliyon ,Volume 10 , Issue 3,2024 [Paper Link] |
5 | Ensemble Methods of Machine Learning Algorithms for Early Diabetic Detection in Comparison in 2023 1st International Conference on Circuits, Power and Intelligent Systems (CCPIS) ,2023 [Paper Link] |
6 | Severity Detection of Problematic Smartphone Usage (PSU) and its Effect on Human Lifestyle using Machine Learning in 2023 IEEE 8th International Conference for Convergence in Technology (I2CT) ,2022 [Paper Link] |
7 | Progressive Guidance Categorization Using Transformer-Based Deep Neural Network Architecture in International Conference on Hybrid Intelligent Systems ,Volume volume 420( Lecture Notes in Networks and Systems Book Series) ,2021 [Paper Link] |
8 | Online Topical Clusters Detection for Top-k Trending Topics in Twitter in The 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONA ,2020 [Paper Link] |
9 | Query Oriented Topical Clusters Detection for Top-k Trending Topics in Twitter in 2020 IEEE 8th R10 Humanitarian Technology Conference (R10-HTC) ,2020 [Paper Link] |
10 | Discovering and Tracking Query Oriented Topical Clusters in Online Social Networks in 2020 IEEE Region 10 Symposium (TENSYMP) ,2020 [Paper Link] |
11 | Fish Disease Detection Using Image Based Machine Learning Technique in Aquaculture in Journal of King Saud University - Computer and Information Sciences ,Volume 34 , Issue 8,2020 [Paper Link] |
12 | Detecting sentiment dynamics and clusters of Twitter users for trending topics in COVID-19 pandemic in Plos One ,Volume 16 , Issue 8,2021 [Paper Link] |
13 | Abusive Bangla comments detection on Facebook using transformer-based deep learning models in Social Network Analysis and Mining ,Volume 12 ,2022 [Paper Link] |
14 | Reading comprehension based question answering system in Bangla language with transformer-based learning in Heliyon ,Volume 8 , Issue 10,2022 [Paper Link] |
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