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Seminar on Current Topics in Business, Information Technology and Analytics (BITA’14) October 13, 2014
| Content Provider | Semantic Scholar |
|---|---|
| Author | Karlsson, Jonny Westerlund, Magnus |
| Copyright Year | 2014 |
| Abstract | The working papers included in this series were presented at a research seminar at Arcada University of Applied Sciences titled “Seminar on Current Topics in Business, Information Technology and Analytics” (BITA’14) and their purpose is to give a broad overview of current research at Arcada. Karlsson, Westerlund, Pulkkis and Dooley focus on identifying relevant features characterizing various types of wormhole attacks in mobile ad hoc networks (MANET), which are needed for generating training data aimed at wormhole attack detection utilizing machine learning based algorithms. Eriksson and To discusses segmentation for baby boomers in the mobile services market in Finland. Mildén and Boguslawski are providing a survey of a study where two quantitative methods were combined for solving an empirical design problem in an experimental setting: How to measure the importance of non-salient image elements. Eldon presents a study of the process of application for a study place at a university and analyses who and what influence the students’ selection process. Finally, Grahn provides a brief introduction to the current state of electronic nose technologies which have a clear potential to be a non-invasive, simple, rapid, and accurate human odor detection and classification tool. i Arcada University of Applied Sciences, Finland, Department of Business Management and Analytics, [jonny.karlsson@arcada.fi] ii Arcada University of Applied Sciences, Finland, Department of Business Management and Analytics, [magnus.westerlund@arcada.fi] Arcada Working Papers 9/2014 ISSN 2342-3064 ISBN 972-952-5260-51-9 |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://dspace.arcada.fi:8080/jspui/bitstream/10478/69/1/AWP_9-2014_BITA14.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |