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ICDM
2009
IEEE
167views Data Mining» more  ICDM 2009»
15 years 4 months ago
Self-Adaptive Anytime Stream Clustering
Clustering streaming data requires algorithms which are capable of updating clustering results for the incoming data. As data is constantly arriving, time for processing is limited...
Philipp Kranen, Ira Assent, Corinna Baldauf, Thoma...
ICCCN
2008
IEEE
16 years 28 days ago
Publish/Subscribe Service in CAN-based P2P Networks: Dimension Mismatch and The Random Projection Approach
Abstract—CAN is a well-known DHT technique for contentbased P2P networks, where each node is assigned a zone in a virtual coordinate space to store the index of the data hashed i...
Duc A. Tran, Thinh Nguyen
ICDM
2007
IEEE
196views Data Mining» more  ICDM 2007»
16 years 24 days ago
Diagnosing Similarity of Oscillation Trends in Time Series
Sensor networks have increased the amount and variety of temporal data available, requiring the definition of new techniques for data mining. Related research typically addresses...
Leonardo E. Mariote, Claudia Bauzer Medeiros, Rica...
ICDCS
2002
IEEE
15 years 11 months ago
D-Stampede: Distributed Programming System for Ubiquitous Computing
We focus on an important problem in the space of ubiquitous computing, namely, programming support for the distributed heterogeneous computing elements that make up this environme...
Sameer Adhikari, Arnab Paul, Umakishore Ramachandr...
VLDB
1998
ACM
123views Database» more  VLDB 1998»
15 years 10 months ago
Diag-Join: An Opportunistic Join Algorithm for 1:N Relationships
Time of creation is one of the predominant (often implicit) clustering strategies found not only in Data Warehouse systems: line items are created together with their correspondin...
Sven Helmer, Till Westmann, Guido Moerkotte