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Titlebook: Advances in Intelligent Data Analysis XVI; 16th International S Niall Adams,Allan Tucker,David Weston Conference proceedings 2017 Springer

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https://doi.org/10.1007/3-540-35142-6cted from both Twitter and from Health product purchases, peak in spring and autumn, and correlate also with the purchase of stress remedies, while Twitter sadness has a peak in the Winter, along with Twitter anger and remedies for fatigue. Surprisingly, purchase of remedies for fatigue do not match
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Emmanuel Favreul,Didier Mainardse subset selection, making the entire process much slower than the original greedy algorithm. In this paper we propose the ., a model-independent randomized selection strategy. We find that (a) the bucket selector is a lot faster and not significantly worse when a diversity measure exists and (b) i
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https://doi.org/10.1007/978-2-287-72100-7g of taxonomy, inferring more structure than it was requested to by the training algorithm. In particular, we show how a CNN trained to recognise animal families, contains also higher order information about taxa such as the superfamily, parvorder, suborder and order for example. We speculate that v
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https://doi.org/10.1007/3-540-35142-6y of music scores and investigate compositions styles. We introduce a mining algorithm, called CSMA for .onstrained .tring .ining .lgorithm, to meet this need considering symbol-based representation of music scores. This algorithm, through motif length and maximal gap constraints, is able to find id
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Classifications of instability,e proposed model provides an easy-to-understand topic-sentiment relationship while also improving the accuracy of regression models on quantitative variables associated with texts. We perform empirical studies on crowdfunding, which has gained mainstream attention due to its enormous penetration in
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