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ICDM
2002
IEEE
123views Data Mining» more  ICDM 2002»
15 years 9 months ago
Towards Automatic Generation of Query Taxonomy: A Hierarchical Query Clustering Approach
Previous works on automatic query clustering most generate a flat, un-nested partition of query terms. In this work, we are pursuing to organize query terms into a hierarchical s...
Shui-Lung Chuang, Lee-Feng Chien
PAKDD
2010
ACM
169views Data Mining» more  PAKDD 2010»
15 years 9 months ago
oddball: Spotting Anomalies in Weighted Graphs
Given a large, weighted graph, how can we find anomalies? Which rules should be violated, before we label a node as an anomaly? We propose the OddBall algorithm, to find such nod...
Leman Akoglu, Mary McGlohon, Christos Faloutsos
ICAPR
2001
Springer
15 years 9 months ago
Image Retrieval Using a Hierarchy of Clusters
The goal of this paper is to describe an efficient procedure for color-based image retrieval. The proposed procedure consists of two stages. First, the image data set is hierarchi...
Daniela Stan, Ishwar K. Sethi
ICDAR
1999
IEEE
15 years 9 months ago
Combining Classifiers based on Confidence Values
This paper describes our investigation into the neural gas (NG) network algorithm and the hierarchical overlapped architecture (HONG) which we have built by retaining the essence ...
Ajantha S. Atukorale, Ponnuthurai N. Suganthan
DOLAP
2007
ACM
15 years 8 months ago
OLAP preferences: a research agenda
Expressing preferences when querying databases is a natural way to avoid empty results and information flooding, and in general to rank results so that the user may first see the ...
Stefano Rizzi