By Petra Perner
This publication constitutes the refereed court cases of the fifteenth business convention on Advances in facts Mining, ICDM 2015, held in Hamburg, Germany, in July 2015.
The sixteen revised complete papers awarded have been conscientiously reviewed and chosen from a variety of submissions. the themes diversity from theoretical facets of information mining to purposes of information mining, corresponding to in multimedia info, in advertising and marketing, in medication and agriculture, and in method keep watch over, and society.
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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Extra info for Advances in Data Mining: Applications and Theoretical Aspects: 15th Industrial Conference, ICDM 2015, Hamburg, Germany, July 11-24, 2015, Proceedings
Sample text
Segmented 73 stores, each segment indicated with different markers. Fig. 6. In Istanbul, 58 stores are segmented. 2 Characteristics of Segments We tried to find the characteristics of each cluster in terms of variables that we have used for clustering. One can see the dominant characteristics of each segment, as shown in the Table 2 below. The population of Istanbul is about 20 million but the land area it distributed is narrow. That is why demographics of the people are different, even for the districts that are neighbor to each other.
Bread-cheese teacoffeeveget. eggs-veget. sausage 5 3372 – legume-veget. 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.
Furthermore, feature selection was used to support the genes and biomarkers generated by decision trees. Keywords: Machine learning Á Classification algorithms Insulin dependent diabetes mellitus Á Bioinformatics Á 1 Introduction Diabetes has been a big challenge in the field of medical informatics for many years. In this paper, we simply say “diabetes” instead of Type 1 diabetes, which is the exact name of the disease of our research. Various programs have been developed concerning diagnosis and treatment of diabetes.