Titlebook: New Frontiers in Mining Complex Patterns; 5th International Wo Annalisa Appice,Michelangelo Ceci,Zbigniew W. Raś Conference proceedings 201

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interdisciplinary readership of researchers, practitioners,.Because of the increasing complexity and growth of real-world networks, their analysis by using classical graph-theoretic methods is oftentimes a difficult procedure. As a result, there is a strong need to combine graph-theoretic methods w

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Audio-Based Speed Change Classification for Vehiclescelerate when approaching radar, and then accelerate after passing by. We address automatic recognition of speed change from audio data, based on recordings taken in controlled conditions. Data description and classification experiments illustrate both changing speed and maintaining constant speed.

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Increasing the Interpretability of Rules Induced from Imbalanced Data by Using Bayesian Confirmationed to class imbalance is considered. As it may induce too many rules, which hinders their interpretation, their filtering is applied. We introduce three different strategies, which aim at selecting rules having good descriptive characteristics. The strategies are based on combining Bayesian confirma

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Analyzing Time-Decay Effects of Mediating-Objects in Creating Trust-Linksn a . created between two users having . such as . and ., and analyze the time-decay effects of mediating-objects on social trust-link creation. To this end, we first introduce the . that can be regarded as a conventional link prediction method based on mediating-objects, and propose the . by incorp

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Predicting the Primary Medical Procedure Through Clustering of Patients’ Diagnosesspitalization of a patient after being discharged from a hospital within a short period of time. The correct selection of the primary medical procedure by physicians is the first step in the patient treatment process and is considered to be of the main causes for hospital readmissions. In this paper

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