search query: @supervisor Nurminen, Jukka / total: 45
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| Author: | Sathi, Rowshan |
| Title: | Personal information center-a data integration service for the private cloud |
| Publication type: | Master's thesis |
| Publication year: | 2015 |
| Pages: | vi + 66 Language: eng |
| Department/School: | Perustieteiden korkeakoulu |
| Main subject: | |
| Supervisor: | Nurminen, Jukka K. ; Küpper, Axel |
| Instructor: | Coskun, Gökhan |
| Electronic version URL: | http://urn.fi/URN:NBN:fi:aalto-201509184441 |
| Location: | P1 Ark Aalto 3103 | Archive |
| Keywords: | data personalization machine learning naive bays information center |
| Abstract (eng): | Managing information has become an extra load for our everyday life but creating a personal information center (PIC) solves this problem easily. A PIC makes it easier to see content such as email messages, weather information, news items, and even information from local storage by using one view or user interface. Additionally, it fulfills the real world requirements like accessibility, around-the-clock availability of service, and it solves the device constraints problem by creating a common presentation format for all kinds of devices. An importer works spontaneously as a fetcher, parser and processor to process the information to create the nodes content. An analyzer works as an extractor and creates vocabulary terms automatically to autotag the node content. Finally, a filtering system works for finding similar nodes to create one common presentation with all matched contents. All the works in the PIC is done automatically without any users' interaction, only the source of information is defined by the users. The analyzer uses machine learning Naive Bayes approach to extract keyphrases from the contents. The PIC uses an advanced filtering system to find similarity between nodes and to create a common presentation for all devices. |
| ED: | 2015-09-27 |
INSSI record number: 52158
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