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KDD
2003
ACM
130views Data Mining» more  KDD 2003»
14 years 5 months ago
Towards systematic design of distance functions for data mining applications
Distance function computation is a key subtask in many data mining algorithms and applications. The most effective form of the distance function can only be expressed in the conte...
Charu C. Aggarwal
INCDM
2010
Springer
138views Data Mining» more  INCDM 2010»
13 years 3 months ago
Learning Discriminative Distance Functions for Case Retrieval and Decision Support
The importance of learning distance functions is gradually being acknowledged by the machine learning community, and different techniques are suggested that can successfully learn ...
Alexey Tsymbal, Martin Huber, Shaohua Kevin Zhou
DAS
2010
Springer
13 years 9 months ago
Towards more effective distance functions for word image matching
Matching word images has many applications in document recognition and retrieval systems. Dynamic Time Warping (DTW) is popularly used to estimate the similarity between word imag...
Raman Jain, C. V. Jawahar
EDBT
2008
ACM
206views Database» more  EDBT 2008»
14 years 5 months ago
Designing an inductive data stream management system: the stream mill experience
There has been much recent interest in on-line data mining. Existing mining algorithms designed for stored data are either not applicable or not effective on data streams, where r...
Hetal Thakkar, Barzan Mozafari, Carlo Zaniolo
SGAI
2007
Springer
13 years 11 months ago
Metrics for Mining Multisets
Abstract. We propose a new class of distance measures (metrics) designed for multisets, both of which are a recurrent theme in many data mining applications. One particular instanc...
Walter A. Kosters, Jeroen F. J. Laros