Sudha Ram mainly focuses on Marketing, Data mining, Management science, Information retrieval and Semantic data model. Her study in the field of Early adopter also crosses realms of Public relations. Sudha Ram has included themes like Variety, Artificial intelligence and Machine learning in her Data mining study.
Her studies in Management science integrate themes in fields like Normalized systems, Artifact, Design science and Problem domain. Her Semantic data model research is multidisciplinary, incorporating perspectives in Data modeling, Conceptual schema, Distributed database and Database design. Sudha Ram combines subjects such as Serializability, Fragmentation, Concurrency control and Database theory with her study of Distributed database.
Her main research concerns World Wide Web, Information retrieval, Data science, Knowledge management and Artificial intelligence. Her work carried out in the field of World Wide Web brings together such families of science as Ontology and Semantics. Her studies link Schema with Information retrieval.
Her study connects Expert system and Knowledge management. The study incorporates disciplines such as Machine learning and Natural language processing in addition to Artificial intelligence. Her Semantic data model research includes themes of Distributed database and Database design.
Her primary areas of investigation include Artificial intelligence, Big data, Social media, Design science and Machine learning. Her Artificial intelligence study combines topics in areas such as Data modeling, Predictive analytics and Natural language processing. Her Big data research is multidisciplinary, incorporating perspectives in Quality assessment and Knowledge management.
While the research belongs to areas of Design science, Sudha Ram spends her time largely on the problem of Library science, intersecting her research to questions surrounding Business process management, Method engineering, Design science research and System integration. Her Machine learning research is multidisciplinary, incorporating elements of Educational institution and Data science. In her research, Sudha Ram performs multidisciplinary study on Database design and Conceptual framework.
Sudha Ram mostly deals with Big data, World Wide Web, Social media, Data modeling and Artificial intelligence. Her Big data study integrates concerns from other disciplines, such as Urbanization, Bridging, Quality assessment and Knowledge management. Her work deals with themes such as Listing, Relational model and Pairwise comparison, which intersect with World Wide Web.
Sudha Ram regularly ties together related areas like Medical emergency in her Social media studies. The various areas that Sudha Ram examines in her Data modeling study include Social influence, Event, Intelligent decision support system and Data mining. Her biological study spans a wide range of topics, including Tree and Machine learning.
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Design science in information systems research
Alan R. Hevner;Salvatore T. March;Jinsoo Park;Sudha Ram.
Management Information Systems Quarterly (2004)
Consumer Resistance to Innovations: The Marketing Problem and its solutions
S. Ram;Jagdish N. Sheth.
A Model of Innovation Resistance
ACR North American Advances (1987)
The iPlant Collaborative: Cyberinfrastructure for Plant Biology.
Stephen A Goff;Matthew Vaughn;Sheldon McKay;Eric Lyons.
Frontiers in Plant Science (2011)
Information systems interoperability: What lies beneath?
Jinsoo Park;Sudha Ram.
ACM Transactions on Information Systems (2004)
Successful innovation using strategies to reduce consumer resistance: An empirical test
Journal of Product Innovation Management (1989)
Semantic conflict resolution ontology (SCROL): an ontology for detecting and resolving data and schema-level semantic conflicts
Sudha Ram;Jinsoo Park.
IEEE Transactions on Knowledge and Data Engineering (2004)
Research Commentary: An Agenda for Information Technology Research in Heterogeneous and Distributed Environments
Salvatore March;Alan Hevner;Sudha Ram.
Information Systems Research (2000)
Multi-user view integration system (MUVIS): an expert system for view integration
S. Hayne;S. Ram.
international conference on data engineering (1990)
Predicting Asthma-Related Emergency Department Visits Using Big Data
Sudha Ram;Wenli Zhang;Max Williams;Yolande Pengetnze.
biomedical and health informatics (2015)
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