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» A Method for Dynamic Clustering of Data
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APSEC
1999
IEEE
15 years 8 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
111
Voted
FLAIRS
2004
15 years 5 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
279
Voted
ICDE
2009
IEEE
171views Database» more  ICDE 2009»
16 years 5 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 6 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
15 years 4 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...