dc.contributor.advisor |
Austin, Roby Anne Elizabeth, 1974- |
|
dc.creator |
Valencik, Andrew |
|
dc.date.accessioned |
2016-03-10T15:46:02Z |
|
dc.date.available |
2016-03-10T15:46:02Z |
|
dc.date.issued |
2015 |
|
dc.identifier.other |
QC772.4 V35 2015 |
|
dc.identifier.uri |
http://library2.smu.ca/xmlui/handle/01/26471 |
|
dc.description |
124 leaves : col. ill. ; 29 cm. |
|
dc.description |
Includes abstract and appendix. |
|
dc.description |
Includes bibliographical references (leaves 122-124). |
|
dc.description.abstract |
The Nuclear Science References (NSR) is a carefully curated bibliographic dataset focused on nuclear science literature. A domain-specific search engine and supporting tools have been developed to aid and encourage the exploration of the NSR. User queries are analyzed to form a series of filters to retrieve relevant NSR entries from a database. The resulting information is presented in multiple views including lists, bar charts, and network graphs. The network graph representations offer unique insights on collaborations centered around a given parameter such as a nuclide or group of authors.
The capability of clustering algorithms to expose trends within the dataset is demonstrated by clustering authors based on publication traits. A vector space model based on the metadata provided in the NSR is used to recommend semantically similar NSR entries. The completed work serves as both an example and a framework for future analysis of the NSR. |
en_CA |
dc.description.provenance |
Submitted by Greg Hilliard (greg.hilliard@smu.ca) on 2016-03-10T15:46:02Z
No. of bitstreams: 1
Valencik_Andrew_MASTERS_2015.pdf: 8488284 bytes, checksum: dbb915eee1330b4ed2b39f65c617edba (MD5) |
en |
dc.description.provenance |
Made available in DSpace on 2016-03-10T15:46:02Z (GMT). No. of bitstreams: 1
Valencik_Andrew_MASTERS_2015.pdf: 8488284 bytes, checksum: dbb915eee1330b4ed2b39f65c617edba (MD5)
Previous issue date: 2015-12-11 |
en |
dc.language.iso |
en |
en_CA |
dc.publisher |
Halifax, N.S. : Saint Mary's University |
|
dc.subject.lcc |
QC772.4 |
|
dc.subject.lcsh |
Nuclear physics -- Bibliography -- Databases |
|
dc.subject.lcsh |
Information storage and retrieval systems -- Nuclear physics |
|
dc.subject.lcsh |
Data mining |
|
dc.subject.lcsh |
Information retrieval |
|
dc.title |
Data mining and exploration of the Nuclear Science References |
en_CA |
dc.type |
Text |
en_CA |
thesis.degree.name |
Master of Science in Applied Science |
|
thesis.degree.level |
Masters |
|
thesis.degree.discipline |
Astronomy and Physics |
|
thesis.degree.grantor |
Saint Mary's University (Halifax, N.S.) |
|