2000 ClusteringandIdentifyingTempora

• (Popescul et al., 2000) ⇒ Alexandrin Popescul, Lyle H. Ungar, Gary William Flake, Steve Lawrence, and C. Lee Giles. (2000). “Clustering and Identifying Temporal Trends in Document Databases.” In: Proceedings of the IEEE Advances in Digital Libraries 2000.

Subject Headings: Document Clustering, Temporal Modeling.

Cited By

• http://scholar.google.com/scholar?q=%22Clustering+and+Identifying+Temporal+Trends+in+Document+Databases%22+2000
• http://dl.acm.org/citation.cfm?id=785907.785995&preflayout=flat#citedby

Quotes

Abstract

We introduce a simple and efficient method for clustering and identifying temporal trends in hyper-linked document databases. Our method can scale to large datasets because it exploits the underlying regularity often found in hyper-linked document databases. Because of this scalability, we can use our method to study the temporal trends of individual clusters in a statistically meaningful manner. As an example of our approach, we give a summary of the temporal trends found in a scientific literature database with thousands of documents.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2000 ClusteringandIdentifyingTempora	Alexandrin Popescul Lyle H. Ungar Steve Lawrence C. Lee Giles Gary William Flake			Clustering and Identifying Temporal Trends in Document Databases