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» Describing Semistructured Data
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KDD
2000
ACM
121views Data Mining» more  KDD 2000»
15 years 10 months ago
Mining high-speed data streams
Many organizations today have more than very large databases; they have databases that grow without limit at a rate of several million records per day. Mining these continuous dat...
Pedro Domingos, Geoff Hulten
VLDB
2000
ACM
128views Database» more  VLDB 2000»
15 years 10 months ago
Concurrency in the Data Warehouse
When a data warehouse is loaded at night and queried during the day, there is no requirement for concurrent update and querying. However there are a number of situations where con...
Richard Taylor
KDD
1995
ACM
99views Data Mining» more  KDD 1995»
15 years 10 months ago
Active Data Mining
We introduce an active data mining paradigm that combines the recent work in data mining with the rich literature on active database systems. In this paradigm, data is continuousl...
Rakesh Agrawal, Giuseppe Psaila
SC
1991
ACM
15 years 10 months ago
A method of vector processing for shared symbolic data
Kanada, Y., A method of vector processing for shared symbolic data, Parallel Computing, X (1993) XXX-XXX. Conventional processing techniques for pipelined vector processors such a...
Yasusi Kanada
GIS
2009
ACM
15 years 9 months ago
Annotating geospatial data based on its semantics
Geospatial information (GI) constitutes a significant portion of available data and are a key factor in planning and decision-making in a variety of domains,such as emergency man...
Carla Geovana N. Macário, Sidney Roberto de...