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» On Effective Data Clustering in Bitemporal Databases
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ICDE
2009
IEEE
202views Database» more  ICDE 2009»
16 years 1 months ago
Tracking High Quality Clusters over Uncertain Data Streams
Recently, data mining over uncertain data streams has attracted a lot of attentions because of the widely existed imprecise data generated from a variety of streaming applications....
Chen Zhang, Ming Gao, Aoying Zhou
HT
1991
ACM
15 years 2 months ago
Implementing Hypertext Database Relationships through Aggregations and Exceptions
In order to combine hypertext with database facilities, we show how to extract an effective storage structure from given instance relationships. The schema of the structure recogn...
Yoshinori Hara, Arthur M. Keller, Gio Wiederhold
KDD
2008
ACM
135views Data Mining» more  KDD 2008»
15 years 11 months ago
Effective and efficient itemset pattern summarization: regression-based approaches
In this paper, we propose a set of novel regression-based approaches to effectively and efficiently summarize frequent itemset patterns. Specifically, we show that the problem of ...
Ruoming Jin, Muad Abu-Ata, Yang Xiang, Ning Ruan
PKDD
2010
Springer
235views Data Mining» more  PKDD 2010»
14 years 9 months ago
Online Structural Graph Clustering Using Frequent Subgraph Mining
The goal of graph clustering is to partition objects in a graph database into different clusters based on various criteria such as vertex connectivity, neighborhood similarity or t...
Madeleine Seeland, Tobias Girschick, Fabian Buchwa...
SIGMOD
2002
ACM
132views Database» more  SIGMOD 2002»
15 years 11 months ago
Clustering by pattern similarity in large data sets
Clustering is the process of grouping a set of objects into classes of similar objects. Although definitions of similarity vary from one clustering model to another, in most of th...
Haixun Wang, Wei Wang 0010, Jiong Yang, Philip S. ...