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» An incremental space to visualize dynamic data sets
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ICDM
2007
IEEE
159views Data Mining» more  ICDM 2007»
13 years 11 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
DAWAK
1999
Springer
13 years 9 months ago
Dynamic Data Warehouse Design
A data warehouse DW can be seen as a set of materialized views de ned over remote base relations. When a query is posed, it is evaluated locally, using the materialized views, wi...
Dimitri Theodoratos, Timos K. Sellis
ASC
2008
13 years 5 months ago
Dynamic data assigning assessment clustering of streaming data
: Discovering interesting patterns or substructures in data streams is an important challenge in data mining. Clustering algorithms are very often applied to identify single substr...
Olga Georgieva, Frank Klawonn
DEXAW
2010
IEEE
204views Database» more  DEXAW 2010»
13 years 6 months ago
Scalable Recursive Top-Down Hierarchical Clustering Approach with Implicit Model Selection for Textual Data Sets
Automatic generation of taxonomies can be useful for a wide area of applications. In our application scenario a topical hierarchy should be constructed reasonably fast from a large...
Markus Muhr, Vedran Sabol, Michael Granitzer
GIS
2003
ACM
14 years 6 months ago
The internet spatial spreadsheet: enabling remote visualization of dynamic spatial data and ongoing query results over a network
Moving object databases store and process data for objects that change location frequently. Materialized views maintained over time must be updated to reflect changes due to the m...
Glenn S. Iwerks, Hanan Samet