| Alternate document: Details On-Line New Event Detection using Single Pass Clustering (98) Ron Papka, James Allan |
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Abstract: We define and describe the related problems
of new event detection and event tracking within a stream
of broadcast news stories. We focus on a strict on-line
setting---i.e., the system must make decisions about one
story before looking at any subsequent stories. Our approach
to detection uses a single pass clustering algorithm
and a novel thresholding model that incorporates
the properties of events as a major component. Our approach
to tracking is similar to typical information filtering... (Update)
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BibTeX entry: (Update)
J. Allan, R. Papka, V. Lavrenko, "On-line New Event Detection and Tracking," Proceedings of ACM SIGIR, pp.37-45, 1998. http://citeseer.ist.psu.edu/allan98line.html More
@inproceedings{ allan98line,
author = "James Allan and Ron Papka and Victor Lavrenko",
title = "On-Line New Event Detection and Tracking",
booktitle = "Research and Development in Information Retrieval",
pages = "37-45",
year = "1998",
url = "citeseer.ist.psu.edu/allan98line.html" }
Citations (may not include all citations):
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A study of cross-validation and bootstrap for accuracy estim..
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Empirical Methods for Artificial Intelligence (context) - Cohen - 1995 ACM DBLP
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Topic detection and tracking pilot study: Final report
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Training algorithms for linear text classifiers
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Incremental relevance feedback for information filtering
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A study on retrospective and on-line event detection
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Document filtering with inference networks
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Recent experiments with inquery
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Detection of shifts in user interests for personalized infor.. (context) - Lam, Mukhopadhyay et al. - 1996 ACM DBLP
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