By Petra P. (ed.)

This publication constitutes the completely refereed post-proceedings of the 4th commercial convention on information Mining, ICDM 2004, held in Leipzig, Germany on July 2004.The convention used to be concerned about complex info mining functions in snapshot mining, drugs and bioinformatics, administration and environmental keep an eye on, and telecommunications. The 18 revised complete papers awarded have been rigorously chosen in the course of rounds of reviewing and development. The papers are equipped in topical sections on case-based reasoning, picture mining, functions in method keep watch over and coverage, clustering and organization principles, telecomunications, and drugs and biotechnology.

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Such a gap implies that significant challenges still exist in areas such as image understanding, image data mining, and image retrieval. Recently research attempts in bridging the semantic gap are becoming a trend. In [3], color semantics of art works are used for image retrieval, investigating into perceptual concepts on as color qualities and sensation, such as warmth, harmony, and anguish. In [4] support vector machines are used to match image feature clusters onto visual concepts. On the other hand, from the data mining point of view, image mining has been proposed for knowledge discovery from data clustering and mining association rules [5].

Maximum Likelihood Hebbian Learning algorithm automatically groups the instances into clusters, grouping together those of similar structure. This technique is a classification and visualisation tool for high dimensional data on a low dimensional display. One of the advantages of this technique is that it is an unsupervised method so we do not need to have any information about the data beforehand. When a new instance is presented to the IBR system, it is identified as belonging to a particular cluster.

Temperature values along the cruise track presented 4 Initial Results The system was tested in situ during the cruise carried out in Pacific waters, see Figure 2. 000 instances). The other 15%, homogeneously spread along the cruise track, was left in order to test the system after the cruse was completed. Figure 2 presents the temperature (averaged) values along the cruise track. It is a three dimensional view of the water temperature, where outside the track, the values that appear are the average value of the water temperature along the track.

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Advances In Data Mining: Applications in Image Mining, by Petra P. (ed.)
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