Advances in Data Mining. Applications and Theoretical by Petra Perner

By Petra Perner

This publication constitutes the refereed lawsuits of the sixteenth business convention on Advances in info Mining, ICDM 2016, held in manhattan, long island, united states, in July 2016.

The 33 revised complete papers provided have been rigorously reviewed and chosen from a hundred submissions. the subjects diversity from theoretical elements of knowledge mining to functions of knowledge mining, comparable to in multimedia info, in advertising, in medication, and in procedure keep watch over, undefined, and society.

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Extra resources for Advances in Data Mining. Applications and Theoretical Aspects: 16th Industrial Conference, ICDM 2016, New York, NY, USA, July 13-17, 2016. Proceedings (Lecture Notes in Computer Science)

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However, in general, the exploitation of useful knowledge from evaluation forms is still limited. Therefore we propose the problem of exploiting faculty evaluation forms to obtain characteristics of the human resource in our university. 1 2 n Let Fijkl ¼ \fijkl ; fijkl ; . ; fijkl [ be an evaluation form of student i about lecturer m j, after studying course k in semester l, in which fijkl is the mth factor of the form and m domain( fijkl ) = {1, 2, 3, 4, 5}, equivalent to a Likert-scale with intervals of 1 to 5 A Data Mining-Based Approach for Exploiting the Characteristics 45 (5 = Strongly satisfied, 4 = Satisfied, 3 = Neither, 2 = Dissatisfied, 1 = Strongly Dissatisfied).

Table 1. -D. Do et al. In the preprocessing stage, we eliminated the evaluation forms with the deviation between the average rating of 12 specific factors and overall satisfaction being greater than one (d = 1). 82 %). The value of each faculty evaluation factor is the average of corresponding factor from all relevant forms, rounded to the nearest unit. The results obtained are 647 12-dimensional vectors describing specialized features of 647 lecturers of the whole university. We applied X-means algorithm for clustering the vectors.

A comparison of methods for measuring spinal motion in female patients with adolescent idiopathic scoliosis. J. Pediatr. Orthop. 26(6), 758–763 (2006) 8. : Pelvic mobility when bending forward in standing position: validity and reliability of 2 motion analysis devices. Arch. Phy. Med. Rehabil. 82(2), 221–226 (2001) 9. : The flexion–extension profile of lumbar spine in 100 healthy volunteers. Spine 29(15), 1636–1641 (2004) 10. : Adolescent idiopathic scoliosis: review and current concepts. Am. Fam.

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