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» Online Algorithms for Mining Semi-structured Data Stream
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CORR
2008
Springer
113views Education» more  CORR 2008»
15 years 1 months ago
Document stream clustering: experimenting an incremental algorithm and AR-based tools for highlighting dynamic trends
We address here two major challenges presented by dynamic data mining: 1) the stability challenge: we have implemented a rigorous incremental density-based clustering algorithm, i...
Alain Lelu, Martine Cadot, Pascal Cuxac
108
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ICONIP
2009
14 years 11 months ago
Exploring Early Classification Strategies of Streaming Data with Delayed Attributes
In contrast to traditional machine learning algorithms, where all data are available in batch mode, the new paradigm of streaming data poses additional difficulties, since data sam...
Mónica Millán-Giraldo, J. Salvador S...
SIGMOD
2001
ACM
165views Database» more  SIGMOD 2001»
16 years 1 months ago
Mining System Audit Data: Opportunities and Challenges
Intrusion detection is an essential component of computer security mechanisms. It requires accurate and efficient analysis of a large amount of system and network audit data. It c...
Wenke Lee, Wei Fan
RECOMB
2009
Springer
16 years 2 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...
ICDM
2007
IEEE
159views Data Mining» more  ICDM 2007»
15 years 8 months ago
Incremental Subspace Clustering over Multiple Data Streams
Data streams are often locally correlated, with a subset of streams exhibiting coherent patterns over a subset of time points. Subspace clustering can discover clusters of objects...
Qi Zhang, Jinze Liu, Wei Wang 0010