Personal Information
Organización/Lugar de trabajo
Lafayette, Louisiana Area United States
Ocupación
Editor-in-Chief- Web Intelligence and Agent Systems- An International Journal
Sector
Education
Acerca de
Dr. Vijay Raghavan is the Alfred and Helen Lamson Endowed Professor in Computer Science at the Center for Advanced Computer Studies and a co-director of the Laboratory for Internet Computing. His research interests are in information retrieval and extraction, data and web mining, multimedia retrieval, data integration, and literature-based discovery. He has published around 250 peer-reviewed research papers. These and other research contributions cumulatively accord him an h-index* of 31, based on citations to his publications. He has served as major adviser for 24 doctoral students and has garnered $10 million in external funding. Dr. Raghavan brings substantial technical expertise, int...
Etiquetas
hypothesis discovery
e-commerce
big data challenges
big data applications
bd2k
massive data analysis
granular computing
lossless decomposition
distributed data mining
sequence data
representation
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Presentaciones
(2)Personal Information
Organización/Lugar de trabajo
Lafayette, Louisiana Area United States
Ocupación
Editor-in-Chief- Web Intelligence and Agent Systems- An International Journal
Sector
Education
Acerca de
Dr. Vijay Raghavan is the Alfred and Helen Lamson Endowed Professor in Computer Science at the Center for Advanced Computer Studies and a co-director of the Laboratory for Internet Computing. His research interests are in information retrieval and extraction, data and web mining, multimedia retrieval, data integration, and literature-based discovery. He has published around 250 peer-reviewed research papers. These and other research contributions cumulatively accord him an h-index* of 31, based on citations to his publications. He has served as major adviser for 24 doctoral students and has garnered $10 million in external funding. Dr. Raghavan brings substantial technical expertise, int...
Etiquetas
hypothesis discovery
e-commerce
big data challenges
big data applications
bd2k
massive data analysis
granular computing
lossless decomposition
distributed data mining
sequence data
representation
Ver más