Daipayan Chakdar
Datos Biográficos
| ID | 10055862 |
|---|---|
| NOMBRE | Daipayan Chakdar |
| NOMBRES | Daipayan |
| APELLIDO | Chakdar |
| FIRMA | CHAKDAR D |
| AFILIACIONES | Indian Institute of Technology Patna |
| VERIFICADO | No |
| TOTAL DE OBRAS | 2 |
| TOTAL DE CITAS | 0 |
| OBRAS COMO AUTOR | 2 |
| OBRAS COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2023 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2024 |
| ÍNDICE H | 0 |
Online Research Topic Modeling and Recommendation Utilizing Multiview Autoencoder-Based Approach
Recent years have witnessed tremendous growth in the publication of research articles as well as in the rise of new research topics. Articles get published in a streaming manner and therefore retrieving and recommending trending topics continuously by updating the trend of topics with time will be beneficial for young researchers. The proposed topic recommendation system is a clustering-based approach that utilizes an autoencoder framework for th…
Multiview Deep Online Clustering
In today’s scenario, a large number of scientific articles on various domains are being published everyday, resulting in a rapid change in the trends of research topics. Retrieving the trending topics, evaluating the trends and extracting the scope of topics could be beneficial to young researchers, which can be recommended for future scope. Publication of articles is a continuous process, and so is the evolution of topics as well as the scope. T…
Sin obras prominentes en esta página.
Multiview Deep Online Clustering
In today’s scenario, a large number of scientific articles on various domains are being published everyday, resulting in a rapid change in the trends of research topics. Retrieving the trending topics, evaluating the trends and extracting the scope of topics could be beneficial to young researchers, which can be recommended for future scope. Publication of articles is a continuous process, and so is the evolution of topics as well as the scope. T…
Online Research Topic Modeling and Recommendation Utilizing Multiview Autoencoder-Based Approach
Recent years have witnessed tremendous growth in the publication of research articles as well as in the rise of new research topics. Articles get published in a streaming manner and therefore retrieving and recommending trending topics continuously by updating the trend of topics with time will be beneficial for young researchers. The proposed topic recommendation system is a clustering-based approach that utilizes an autoencoder framework for th…
Advanced Text Analysis Techniques (2 obras) · Artificial Intelligence (2 obras) · Autoencoder (2 obras) · Cluster analysis (2 obras) · Complex Network Analysis Techniques (2 obras) · Computer Science (2 obras) · Data mining (2 obras) · Data science (2 obras) · Deep learning (2 obras) · Information retrieval (2 obras)