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» Techniques of Cluster Algorithms in Data Mining
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126
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PKDD
2010
Springer
235views Data Mining» more  PKDD 2010»
14 years 11 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...
202
Voted
ICDE
2003
IEEE
160views Database» more  ICDE 2003»
16 years 3 months ago
HD-Eye - Visual Clustering of High dimensional Data
Clustering of large data bases is an important research area with a large variety of applications in the data base context. Missing in most of the research efforts are means for g...
Alexander Hinneburg, Daniel A. Keim, Markus Wawryn...
ICDE
2007
IEEE
131views Database» more  ICDE 2007»
15 years 8 months ago
Incremental Clustering of Mobile Objects
Moving objects are becoming increasingly attractive to the data mining community due to continuous advances in technologies like GPS, mobile computers, and wireless communication ...
Sigal Elnekave, Mark Last, Oded Maimon
JCP
2007
149views more  JCP 2007»
15 years 1 months ago
Partitional Clustering Techniques for Multi-Spectral Image Segmentation
Abstract— Analyzing unknown data sets such as multispectral images often requires unsupervised techniques. Data clustering is a well known and widely used approach in such cases....
Danielle Nuzillard, Cosmin Lazar
121
Voted
ICDM
2007
IEEE
147views Data Mining» more  ICDM 2007»
15 years 5 months ago
Improving Knowledge Discovery in Document Collections through Combining Text Retrieval and Link Analysis Techniques
In this paper, we present Concept Chain Queries (CCQ), a special case of text mining in document collections focusing on detecting links between two topics across text documents. ...
Wei Jin, Rohini K. Srihari, Hung Hay Ho, Xin Wu