His scientific interests lie mostly in World Wide Web, Information retrieval, Data mining, Metadata and Artificial intelligence. His studies deal with areas such as Systems architecture and Protocol as well as World Wide Web. Many of his studies on Information retrieval involve topics that are commonly interrelated, such as Cluster analysis.
His Data mining research is mostly focused on the topic Vector space model. His Data element study, which is part of a larger body of work in Metadata, is frequently linked to Learning automata, bridging the gap between disciplines. Many of his research projects under Artificial intelligence are closely connected to Virginia tech with Virginia tech, tying the diverse disciplines of science together.
His primary areas of study are World Wide Web, Information retrieval, Multimedia, Metadata and Artificial intelligence. Edward A. Fox connects World Wide Web with Open Archives Initiative in his study. The concepts of his Information retrieval study are interwoven with issues in Data mining and Image retrieval.
He regularly ties together related areas like Curriculum in his Multimedia studies. His specific area of interest is Curriculum, where Edward A. Fox studies Curriculum development. His work carried out in the field of Artificial intelligence brings together such families of science as Machine learning and Natural language processing.
His primary areas of investigation include World Wide Web, Web archiving, Information retrieval, Data science and Social media. His studies in World Wide Web integrate themes in fields like Multimedia, Set and Big data. His Web archiving research incorporates elements of Web service and Digital preservation.
His work on Topic model as part of general Information retrieval research is frequently linked to Geospatial analysis, bridging the gap between disciplines. His Data science research includes elements of Field, Context, Metadata and Service. His Social media research includes themes of Information needs, Information seeking, Public relations and Internet privacy.
Edward A. Fox mainly investigates World Wide Web, Data science, Information retrieval, Artificial intelligence and Public relations. Edward A. Fox has included themes like Image retrieval and Big data in his World Wide Web study. He combines subjects such as Context, Metadata, Group, Sensemaking and Control with his study of Data science.
He integrates many fields in his works, including Information retrieval and Test. His research in Artificial intelligence intersects with topics in Machine learning, Data mining and Natural language processing. His Public relations study integrates concerns from other disciplines, such as Social media, Uses and gratifications theory and Information seeking.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Extended Boolean information retrieval
Gerard Salton;Edward A. Fox;Harry Wu.
Communications of The ACM (1983)
Combination of multiple searches
Edward A. Fox;Joseph A. Shaw.
text retrieval conference (1994)
Removal policies in network caches for World-Wide Web documents
Marc Abrams;Charles R. Standridge;Ghaleb Abdulla;Edward A. Fox.
acm special interest group on data communication (1996)
Social media use by government: From the routine to the critical
Andrea L. Kavanaugh;Edward A. Fox;Steven D. Sheetz;Seungwon Yang.
Government Information Quarterly (2012)
Caching Proxies: Limitations and Potentials
Marc Abrams;Charles R. Standridge;Ghaleb Abdulla;Stephen Williams.
World Wide Web J. (1995)
Social media use by government: from the routine to the critical
Andrea Kavanaugh;Edward A. Fox;Steven Sheetz;Seungwon Yang.
international conference on digital government research (2011)
Streams, structures, spaces, scenarios, societies (5s): A formal model for digital libraries
Marcos André Gonçalves;Edward A. Fox;Layne T. Watson;Neill A. Kipp.
ACM Transactions on Information Systems (2004)
Donna Harman;R. Baeza-Yates;Edward Fox;W. Lee.
Information Retrieval (1992)
Automatic document metadata extraction using support vector machines
Hui Han;C.L. Giles;E. Manavoglu;Hongyuan Zha.
acm ieee joint conference on digital libraries (2003)
Edward A. Fox;Ohm Sornil.
Encyclopedia of Computer Science (2003)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: