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» Data streams: algorithms and applications
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196
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SDM
2012
SIAM
452views Data Mining» more  SDM 2012»
13 years 16 days ago
Density-based Projected Clustering over High Dimensional Data Streams
Clustering of high dimensional data streams is an important problem in many application domains, a prominent example being network monitoring. Several approaches have been lately ...
Irene Ntoutsi, Arthur Zimek, Themis Palpanas, Peer...
STACS
2007
Springer
15 years 4 months ago
A Deterministic Algorithm for Summarizing Asynchronous Streams over a Sliding Window
We consider the problem of maintaining aggregates over recent elements of a massive data stream. Motivated by applications involving network data, we consider asynchronous data str...
Costas Busch, Srikanta Tirthapura
84
Voted
DASFAA
2010
IEEE
225views Database» more  DASFAA 2010»
14 years 10 months ago
Mining Regular Patterns in Data Streams
Discovering interesting patterns from high-speed data streams is a challenging problem in data mining. Recently, the support metric-based frequent pattern mining from data stream h...
Syed Khairuzzaman Tanbeer, Chowdhury Farhan Ahmed,...
SIGMOD
2004
ACM
157views Database» more  SIGMOD 2004»
15 years 10 months ago
Adaptive Ordering of Pipelined Stream Filters
We consider the problem of pipelined filters, where a continuous stream of tuples is processed by a set of commutative filters. Pipelined filters are common in stream applications...
Shivnath Babu, Rajeev Motwani, Kamesh Munagala, It...
98
Voted
DASFAA
2008
IEEE
149views Database» more  DASFAA 2008»
14 years 11 months ago
A Test Paradigm for Detecting Changes in Transactional Data Streams
A pattern is considered useful if it can be used to help a person to achieve his goal. Mining data streams for useful patterns is important in many applications. However, data stre...
Willie Ng, Manoranjan Dash