Download Advances in Data Mining: Applications and Theoretical by Petra Perner PDF

By Petra Perner

This booklet constitutes the refereed lawsuits of the fifteenth business convention on Advances in information Mining, ICDM 2015, held in Hamburg, Germany, in July 2015.

The sixteen revised complete papers provided have been rigorously reviewed and chosen from various submissions. the themes variety from theoretical elements of information mining to purposes of knowledge mining, comparable to in multimedia facts, in advertising and marketing, in drugs and agriculture, and in strategy keep watch over, and society.

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Read or Download Advances in Data Mining: Applications and Theoretical Aspects: 15th Industrial Conference, ICDM 2015, Hamburg, Germany, July 11-24, 2015, Proceedings PDF

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Additional info for Advances in Data Mining: Applications and Theoretical Aspects: 15th Industrial Conference, ICDM 2015, Hamburg, Germany, July 11-24, 2015, Proceedings

Sample text

E. not using multiple choice, their answers had to be coded before a quantitative analysis became possible. Below, we report such analysis and discuss the results, at the same time explaining the codes that we formed inductively while reading the answers. Sometimes, coding required interpretation, especially when analysing the cluster labels that participants were asked to write down in Task 4. For instance, the tree representation of cluster 5 does not contain the gender attribute. But it does contain the attribute “buy male magazines” at the top of the tree (see Fig.

E. whether or not they lead a marketer to the right conclusions regarding the essence of a cluster. e. the question how easy and fast marketers can derive the cluster essence using a particular representation, we need to formulate an open question (since we do not have an a priori assumption): Q1: Given a set of alternative representations for a cluster, which representation will human analysts prefer? That is, for which representation will they state that it is easiest to derive the essence of a cluster?

Chicken-veget. -chocolatemilk baking pr-cheesemilk baking pr-milkteacoffee chocolate-sodateacoffee biscuit-chocolateteacoffee bread-soda-vegetable bread-cheesevegetable baking pr-fruitvegetable chocolate-milkvegetable dressing-fruitvegetable cheese-eggsvegetable milk-soda-vegetable chocolate-milk-soda The retail company should consider these frequent unique itemsets and rules of each cluster for advertisement purposes to be able to have successful target marketing. Because of having many frequent itemsets and rules, to better understand the differences of clusters, we should analyze the items sold in terms of their prices for each cluster.

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