Titlebook: Smart Information Systems; Computational Intell Frank Hopfgartner Book 2015 Springer International Publishing Switzerland 2015 Data Analysi

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we obtain any more useful information by a more detailed assessment of ventricular function?” This question is important in the light of new more aggressive approaches to the management of patients after myocardial infarction where options might include coronary artery bypass grafting and possibly c

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Stephan Spiegelh dropout/cross over rates, small sample size, sample selection, and modest exercise protocols make data difficult to interpret..Data concerning the effect of exercise on risk factors are encouraging and suggest that exercise affects mortality from CHD. Exercise of the appropriate frequency, intensi

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Esra Acar,Melanie Irrgang,Dominique Maniry,Frank Hopfgartner addition of Doppler flow velocity measurements to assess left ventricular performance during treadmill exercise. Thus, the addition of echocardiographic studies before and after standard post-myocardial infarction treadmill exercise testing is highly feasible and is of considerable value for detect

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Stephan Spiegelh dropout/cross over rates, small sample size, sample selection, and modest exercise protocols make data difficult to interpret..Data concerning the effect of exercise on risk factors are encouraging and suggest that exercise affects mortality from CHD. Exercise of the appropriate frequency, intensi

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better outcome is associated with shorter lifetime duration of epilepsy. Long-term postsurgical employment outcomes in children are reported as superior to those of adults. Findings indicate that early surgery leading to seizure cessation may promote outcome. However, few studies compare outcomes o

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Book 2015industry; reviews novel information aggregation services; discusses personalization and recommendation systems; examines sensor-based knowledge acquisition services, describing how the analysis of sensor data can be used to provide a clear picture of our world.

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Twitter Sentiment Tracking for Predicting Marketing Trends Furthermore, statistical tracking charts can be viewed via web page of the system. A dataset is produced by collecting 362,529 tweets in 9 days via Twitter API for the research, which is automatically classified by the system. Performance of the Naïve Bayes and Maximum Entropy classification method

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Semantic Movie Recommendationsggested items helping the user to understand why an unknown item matches the individual user preferences. In this chapter we discuss the challenges in creating recommender systems and explain semantic approaches for the recommendation domain. We discuss the steps for building a semantic recommender