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» A Method for Dynamic Clustering of Data
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APSEC
1999
IEEE
15 years 4 months ago
Slicing Methods Using Static and Dynamic Analysis Information
In this paper, we propose four slicing methods using both static and dynamic analysis information. (1) StatementMark Slice : removes the unnecessary statements using an execution ...
Yoshiyuki Ashida, Fumiaki Ohata, Katsuro Inoue
FLAIRS
2004
15 years 1 months ago
Clustering Spatial Data in the Presence of Obstacles
Clustering is a form of unsupervised machine learning. In this paper, we proposed the DBRS_O method to identify clusters in the presence of intersected obstacles. Without doing an...
Xin Wang, Howard J. Hamilton
ICDE
2009
IEEE
171views Database» more  ICDE 2009»
16 years 1 months ago
A Framework for Clustering Massive-Domain Data Streams
In this paper, we will examine the problem of clustering massive domain data streams. Massive-domain data streams are those in which the number of possible domain values for each a...
Charu C. Aggarwal
CIBB
2008
15 years 1 months ago
Unsupervised Stability-Based Ensembles to Discover Reliable Structures in Complex Bio-molecular Data
The assessment of the reliability of clusters discovered in bio-molecular data is a central issue in several bioinformatics problems. Several methods based on the concept of stabil...
Alberto Bertoni, Giorgio Valentini
GRC
2008
IEEE
14 years 12 months ago
MovStream: An Efficient Algorithm for Monitoring Clusters Evolving in Data Streams
Monitoring cluster evolution in data streams is a major research topic in data streams mining. Previous clustering methods for evolving data streams focus on global clustering res...
Liang Tang, Chang-jie Tang, Lei Duan, Chuan Li, Ye...