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KDD
2006
ACM
145views Data Mining» more  KDD 2006»
16 years 6 months ago
Deriving quantitative models for correlation clusters
Correlation clustering aims at grouping the data set into correlation clusters such that the objects in the same cluster exhibit a certain density and are all associated to a comm...
Arthur Zimek, Christian Böhm, Elke Achtert, H...
KDD
2006
ACM
127views Data Mining» more  KDD 2006»
16 years 6 months ago
Recommendation method for extending subscription periods
Online stores providing subscription services need to extend user subscription periods as long as possible to increase their profits. Conventional recommendation methods recommend...
Tomoharu Iwata, Kazumi Saito, Takeshi Yamada
KDD
2004
ACM
124views Data Mining» more  KDD 2004»
16 years 6 months ago
Eigenspace-based anomaly detection in computer systems
We report on an automated runtime anomaly detection method at the application layer of multi-node computer systems. Although several network management systems are available in th...
Hisashi Kashima, Tsuyoshi Idé
KDD
2002
ACM
147views Data Mining» more  KDD 2002»
16 years 6 months ago
Visualized Classification of Multiple Sample Types
The goal of the knowledge discovery and data mining is to extract the useful knowledge from the given data. Visualization enables us to find structures, features, patterns, and re...
Li Zhang, Aidong Zhang, Murali Ramanathan
CHI
2008
ACM
16 years 6 months ago
Readability of scanned books in digital libraries
Displaying scanned book pages in a web browser is difficult, due to an array of characteristics of the common user's configuration that compound to yield text that is degrade...
Alexander J. Quinn, Chang Hu, Takeshi Arisaka, Ann...
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