Our medical world is replete with clinical data but this data is rarely automatically exploited for bringing more health to our society. Many researches have been conducted in Medical Data Mining, but almost all of them have focused on diagnosing the diseases not treating the patients. In this paper we propose the Causality-based Medical Diagnosis and Treatment System, which can be used to diag...

Our medical world is replete with clinical data but this data is rarely automatically exploited for bringing more health to our society. Many researches have been conducted in Medical Data Mining, but almost all of them have focused on diagnosing the diseases not treating the patients. In this paper we propose the Causality-based Medical Diagnosis and Treatment System, which can be used to diag...

An important issue of data mining is how to transfer data into information, the information into action, and the action into value or profit. This paper presents a study on applying sensitivity analysis to neural network models for a particular area in data mining, interesting mining and profit mining. Applying sensitivity analysis to neural network models rather than just regression models can...

Recent advances in Computer Vision and Machine Learning empowered the use of image positional data several high-level analyses Sports Science, such as player action classification, recognition complex human movements, tactical analysis team sports. In context sports analysis, allows new developments opportunities by taking into account players’ positions over time. Exploiting its sequence a sys...

In recent years, dense trajectories have shown to be an efficient representation for action recognition and have achieved state-of-theart results on a variety of increasingly difficult datasets. However, while the features have greatly improved the recognition scores, the training process and machine learning used hasn’t in general deviated from the object recognition based SVM approach. This i...

Action rules provide hints to a business user what actions (i.e., changes within some values of flexible attributes) should be taken to improve the profitability of customers. That is, taking some actions to re-classify some customers from less desired decision class to the more desired one. However, in previous work, each action rule was constructed from two rules, extracted earlier, defining ...