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151
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KDD
1998
ACM
160views Data Mining» more  KDD 1998»
15 years 8 months ago
Algorithms for Characterization and Trend Detection in Spatial Databases
1 The number and the size of spatial databases, e.g. for geomarketing, traffic control or environmental studies, are rapidly growing which results in an increasing need for spatial...
Martin Ester, Alexander Frommelt, Hans-Peter Krieg...
CINQ
2004
Springer
180views Database» more  CINQ 2004»
15 years 7 months ago
Interactivity, Scalability and Resource Control for Efficient KDD Support in DBMS
The conflict between resource consumption and query performance in the data mining context often has no satisfactory solution. This not only stands in sharp contrast to the need of...
Matthias Gimbel, Michael Klein, Peter C. Lockemann
CORR
2010
Springer
138views Education» more  CORR 2010»
15 years 3 months ago
Data Stream Clustering: Challenges and Issues
Very large databases are required to store massive amounts of data that are continuously inserted and queried. Analyzing huge data sets and extracting valuable pattern in many appl...
Madjid Khalilian, Norwati Mustapha
120
Voted
WWW
2001
ACM
16 years 4 months ago
WebLQM : A Web Community Examiner
WebLQM is a system with capabilities to locate, query and mine web communities on the Internet. WebLQM has a special way to define the World Wide Web, its contents and relations. ...
Jesús Ubaldo Quevedo, Shou-Hsuan Stephen Hu...
152
Voted
ICDM
2007
IEEE
196views Data Mining» more  ICDM 2007»
15 years 10 months 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...