Advances in Data Mining. Applications and Theoretical by Rainer Schmidt, Heike Weiss, Georg Fuellen (auth.), Petra

By Rainer Schmidt, Heike Weiss, Georg Fuellen (auth.), Petra Perner (eds.)

This booklet constitutes the refereed court cases of the twelfth business convention on facts Mining, ICDM 2012, held in Berlin, Germany in July 2012. The 22 revised complete papers provided have been conscientiously reviewed and chosen from ninety seven submissions. The papers are geared up in topical sections on info mining in medication and biology; facts mining for power undefined; info mining in site visitors and logistic; info mining in telecommunication; facts mining in engineering; concept in information mining; conception in facts mining: clustering; idea in info mining: organization rule mining and choice rule mining.

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Case-based reasoning in the health sciences: what’s next? Artificial Intelligence in Medicine 36(2), 127–135 (2006) 12. : Advancements and trends in medical case-based reasoning: An overview of systems and system development. In: Proceedings of the 17th International FLAIRS Conference, Special Track on Case-Based Reasoning, pp. 178–183. AAAI (2004) 13. : Medical applications in case based reasoning. The Knowledge Engineering Review 20(3), 289–292 (2007) 14. : An Analysis of Research Themes in the CBR Conference Literature.

Leja Table 1. 5 in most classes a single rule is made - classify each record as one with dominatig class. Different options are available for improving the classification efficiency application of cost matrix in training stage, using negative selection (anomaly detection) instead of common classification, data synthesis, feature selection, data sampling and others. In this research the feature selection and the data sampling options were applied. First, the correlation analysis [5, 9, 11] of 29 available descriptive attributes was made and 10 attributes were selected.

This new row contains the values of the features as well as time-stamp indicating when the observations were made. See the matrix in the top of Figure 1. , we have to consider the raw at 10:22. , it contains the values of all the features that are relevant in the current application. Such queries regarding the ”state of the world” at a given time can be effectively supported by indexing techniques. The only disadvantage of the representation shown in the top of Figure 1 is that the total size of the matrix may become much larger than actually required.

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