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DAWAK
2000
Springer
15 years 12 months ago
Enhancing Preprocessing in Data-Intensive Domains using Online-Analytical Processing
Abstract The application of data mining algorithms needs a goal-oriented preprocessing of the data. In practical applications the preprocessing task is very time consuming and has ...
Alexander Maedche, Andreas Hotho, Markus Wiese
LWA
2008
15 years 9 months ago
Pre analysis and clustering of uncertain data from manufacturing processes
With increasing complexity of manufacturing processes, the volume of data that has to be evaluated rises accordingly. The complexity and data volume make any kind of manual data a...
Peter Benjamin Volk, Martin Hahmann, Dirk Habich, ...
KDD
2012
ACM
235views Data Mining» more  KDD 2012»
13 years 10 months ago
A near-linear time approximation algorithm for angle-based outlier detection in high-dimensional data
Outlier mining in d-dimensional point sets is a fundamental and well studied data mining task due to its variety of applications. Most such applications arise in high-dimensional ...
Ninh Pham, Rasmus Pagh
ECRTS
2008
IEEE
16 years 2 months ago
Backlog Estimation and Management for Real-Time Data Services
Real-time data services can benefit data-intensive real-time applications, e.g., e-commerce, via timely transaction processing using fresh data, e.g., the current stock prices. T...
Kyoung-Don Kang, Jisu Oh, Yan Zhou
ICDM
2005
IEEE
138views Data Mining» more  ICDM 2005»
16 years 1 months ago
Labeling Unclustered Categorical Data into Clusters Based on the Important Attribute Values
Sampling has been recognized as an important technique to improve the efficiency of clustering. However, with sampling applied, those points which are not sampled will not have t...
Hung-Leng Chen, Kun-Ta Chuang, Ming-Syan Chen