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Mining the Most Interesting Web Access Associations
WebNet World Conference on the WWW and Internet(WEBNETC)2000:1

Tilmann Steinberg, Fillia Makedon, James Ford, Li Shen, Ling Cheng & Vasileios Megalooikonomou, Dartmouth College, United States

Web access patterns can provide valuable information for website designers in making website-based communication more efficient. To extract interesting or useful web access patterns, we use data mining techniques which analyze historical web...

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Multimedia Interfaces for E-Commerce
WebNet World Conference on the WWW and Internet(WEBNETC)1999:1

Basil Sudborough, Union Bank of Switzerland, Switzerland; Peter Gloor, PricewaterhouseCoopers, Switzerland; James Ford & Tilmann Steinberg, Dartmouth College, United States; Charles B. Owen, Michigan State University, United States; Fillia Makedon, Dartmouth College, United States

E-Commerce, when viewed as a network of multimedia data transactions, is a sophisti-cated application of multimedia information authoring, retrieval, searching, browsing, clustering, and navigation. This paper analyzes the role of each of these...

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Tracking Human Expression Actions in Lectures
World Conference on Educational Multimedia, Hypermedia and Telecommunications(EDMEDIA)2000:1

Fillia Makedon, Li Shen, Ling Cheng & Tilmann Steinberg, Dartmouth College, United States

Recorded multimedia presentations in the form of lectures, conference proceedings, commercial demonstrations or tutorials, are becoming increasingly available in multiple, diverse, and often heterogeneous formats. These materials are stored in...

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