Applying Data Mining and Social Network Analysis Techniques in a Land Tenure Information System
| atmire.migration.oldid | 2030 | |
| dc.contributor.advisor | Barry, Mike | |
| dc.contributor.author | Asiedu, Kwame | |
| dc.date.accessioned | 2014-04-22T16:36:28Z | |
| dc.date.available | 2014-06-16T07:00:31Z | |
| dc.date.issued | 2014-04-22 | |
| dc.date.submitted | 2014 | en |
| dc.description.abstract | Network of social relationships are fundamental attribute of land tenure systems. The primary objective of this research is to develop an evolutionary TTM-based LTIS to cater for requirements dictated by the rapidly evolving social, political and economic conditions in peri-urban communities and to apply data mining and social network analysis techniques to find lineage of interest in customary systems. The method adapts agile software development approach to developing a TTM-based LTIS. Simulated data populated into the system is then extracted for mining and analysis. The results have proven that mining and analysis can facilitate visualizing complex relationships between objects, reveal hidden relationships that emerge as social change take shape as well as drive the development of an evolutionary land administration model and the LTIS developed based on such models. However the success of these methods depends on acquiring relevant data which may sometimes be manipulated to suite one’s agenda. | en_US |
| dc.identifier.citation | Asiedu, K. (2014). Applying Data Mining and Social Network Analysis Techniques in a Land Tenure Information System (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/24976 | en_US |
| dc.identifier.doi | http://dx.doi.org/10.11575/PRISM/24976 | |
| dc.identifier.uri | http://hdl.handle.net/11023/1423 | |
| dc.language.iso | eng | |
| dc.publisher.faculty | Graduate Studies | |
| dc.publisher.institution | University of Calgary | en |
| dc.publisher.place | Calgary | en |
| dc.rights | University of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission. | |
| dc.subject | Computer Science | |
| dc.subject | Engineering--Environmental | |
| dc.subject | Engineering--Operations Research | |
| dc.subject.classification | Social Network Analysis | en_US |
| dc.subject.classification | Data Mining | en_US |
| dc.subject.classification | Evolutionary Land Tenure Information System | en_US |
| dc.subject.classification | Land Administration Models | en_US |
| dc.title | Applying Data Mining and Social Network Analysis Techniques in a Land Tenure Information System | |
| dc.type | master thesis | |
| thesis.degree.discipline | Geomatics Engineering | |
| thesis.degree.grantor | University of Calgary | |
| thesis.degree.name | Master of Science (MSc) | |
| ucalgary.item.requestcopy | true |