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» A Data Stream Mining System
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SDM
2009
SIAM
208views Data Mining» more  SDM 2009»
16 years 2 months ago
Topic Evolution in a Stream of Documents.
Document collections evolve over time, new topics emerge and old ones decline. At the same time, the terminology evolves as well. Much literature is devoted to topic evolution in ...
Alexander Hinneburg, Andrè Gohr, Myra Spili...
CORR
2012
Springer
209views Education» more  CORR 2012»
14 years 20 days ago
Densest Subgraph in Streaming and MapReduce
The problem of finding locally dense components of a graph is an important primitive in data analysis, with wide-ranging applications from community mining to spam detection and ...
Bahman Bahmani, Ravi Kumar, Sergei Vassilvitskii
SIGMOD
2005
ACM
133views Database» more  SIGMOD 2005»
16 years 5 months ago
Semantics and Evaluation Techniques for Window Aggregates in Data Streams
A windowed query operator breaks a data stream into possibly overlapping subsets of data and computes results over each. Many stream systems can evaluate window aggregate queries....
Jin Li, David Maier, Kristin Tufte, Vassilis Papad...
IDA
2002
Springer
15 years 4 months ago
Online classification of nonstationary data streams
Most classification methods are based on the assumption that the data conforms to a stationary distribution. However, the real-world data is usually collected over certain periods...
Mark Last
EAAI
2007
99views more  EAAI 2007»
15 years 4 months ago
Data mining for agent reasoning: A synergy for training intelligent agents
The task-oriented nature of data mining (DM) has already been dealt successfully with the employment of intelligent agent systems that distribute tasks, collaborate and synchroniz...
Andreas L. Symeonidis, Kyriakos C. Chatzidimitriou...