The formation and use of abstract concepts in design
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A Branch and Bound Incremental Conceptual Clusterer
Machine Learning
Algorithms, data structures, and problem solving with C++
Algorithms, data structures, and problem solving with C++
Incremental clustering and dynamic information retrieval
STOC '97 Proceedings of the twenty-ninth annual ACM symposium on Theory of computing
CCAM: A Connectivity-Clustered Access Method for Networks and Network Computations
IEEE Transactions on Knowledge and Data Engineering
The Bay Area Research Wireless Access Network (BARWAN)
COMPCON '96 Proceedings of the 41st IEEE International Computer Conference
SIFT: a tool for wide-area information dissemination
TCON'95 Proceedings of the USENIX 1995 Technical Conference Proceedings
Dynamic multicast information dissemination in hybrid satellite-wireless networks
Proceedings of the 1st ACM international workshop on Data engineering for wireless and mobile access
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Intelligent Mobile Information Systems support information-centered applications that require support for a large number of distributed mobile users collaborating on a common mission and with interests in a common situation domain. A mobile user operating in the field changes location, consumes resources, investigates situations "on the horizon," and performs other incrementally evolving activities. A mobile user's information needs are therefore continually evolving in a neighborhood of interrelated data centered on the user's current location. Broadcast data dissemination is most effective when each broadcast information packet has multiple interested parties. To maximize the value of multicast dissemination, we dynamically cluster similar user profiles into aggregate user classifications that are served by independent multicast channels of custom information packets. Mobile user locations are also continuously tracked and mapped onto a cartographic representation of the real scenario. Spatial proximity between users is then computed by taking into account real boundaries as described in the cartographic map. Spatial information and spatial relationships among mobile users are then provided to the clustering algorithm with an eventual improved quality of the disseminated data.