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KDD
1998
ACM
190views Data Mining» more  KDD 1998»
13 years 10 months ago
Time Series Forecasting from High-Dimensional Data with Multiple Adaptive Layers
This paper describes our work in learning online models that forecast real-valued variables in a high-dimensional space. A 3GB database was collected by sampling 421 real-valued s...
R. Bharat Rao, Scott Rickard, Frans Coetzee
SIGKDD
2000
95views more  SIGKDD 2000»
13 years 6 months ago
Scalability for Clustering Algorithms Revisited
This paper presents a simple new algorithm that performs k-means clustering in one scan of a dataset, while using a bu er for points from the dataset of xed size. Experiments show...
Fredrik Farnstrom, James Lewis, Charles Elkan
PAKM
1998
13 years 7 months ago
Knowledge Management: A Text Mining Approach
Knowledge Discovery in Databases (KDD), also known as data mining, focuses on the computerized exploration of large amounts of data and on the discovery of interesting patterns wi...
Ronen Feldman, Moshe Fresko, Haym Hirsh, Yonatan A...
PKDD
1998
Springer
123views Data Mining» more  PKDD 1998»
13 years 10 months ago
Querying Inductive Databases: A Case Study on the MINE RULE Operator
Knowledge discovery in databases (KDD) is a process that can include steps like forming the data set, data transformations, discovery of patterns, searching for exceptions to a pat...
Jean-François Boulicaut, Mika Klemettinen, ...
IEEEMM
1998
99views more  IEEEMM 1998»
13 years 5 months ago
MHEG-5 - Aims, Concepts, and Implementation Issues
ract syntax notation ATM asynchronous transfer mode CCETT Centre Commun d’Etudes de Télédiffusion et Télécommunications Davic Digital Audio Visual Council DSMCC Digital Stora...
Marica Echiffre, Claudio Marchisio, Pietro Marchis...