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» Mining data streams: a review
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ADMA
2006
Springer
101views Data Mining» more  ADMA 2006»
14 years 2 months ago
ZED: Explaining Temporal Variations in Query Volume
We hypothesize that the variance in volume of high-velocity queries over time can be explained by observing that these queries are formulated in response to events in the world tha...
Maojin Jiang, Shlomo Argamon, Abdur Chowdhury, Kus...
ADMA
2008
Springer
89views Data Mining» more  ADMA 2008»
13 years 10 months ago
Timeline Analysis of Web News Events
With a large number of news available on the internet everyday, it is an interesting work to automatically organize news events by time order and dependencies between events. The w...
Jiangtao Qiu, Chuan Li, Shaojie Qiao, Taiyong Li, ...
PKDD
2010
Springer
122views Data Mining» more  PKDD 2010»
13 years 7 months ago
Detecting Events in a Million New York Times Articles
We present a demonstration of a newly developed text stream event detection method on over a million articles from the New York Times corpus. The event detection is designed to ope...
Tristan Snowsill, Ilias N. Flaounas, Tijl De Bie, ...
ICDE
2009
IEEE
156views Database» more  ICDE 2009»
14 years 10 months ago
Online Anomaly Prediction for Robust Cluster Systems
In this paper, we present a stream-based mining algorithm for online anomaly prediction. Many real-world applications such as data stream analysis requires continuous cluster opera...
Xiaohui Gu, Haixun Wang
RECOMB
2009
Springer
14 years 9 months ago
An Online Approach for Mining Collective Behaviors from Molecular Dynamics Simulations
Collective behavior involving distally separate regions in a protein is known to widely affect its function. In this paper, we present an online approach to study and characterize ...
Arvind Ramanathan, Pratul K. Agarwal, Maria Kurnik...