Frequent Graph Mining for Data Streams

Summary

Frequent Graph Mining for Data Streams is a master's thesis^[1].

Key Facts

• Frequent Graph Mining for Data Streams authored Ranran Bian^[2].
• Frequent Graph Mining for Data Streams's instance of is recorded as master's thesis^[3].
• Frequent Graph Mining for Data Streams's publisher is recorded as ResearchSpace@Auckland^[4].
• Frequent Graph Mining for Data Streams's country of origin is recorded as New Zealand^[5].
• Frequent Graph Mining for Data Streams's publication date is recorded as +2015-00-00T00:00:00Z^[6].
• Frequent Graph Mining for Data Streams's main subject is recorded as computer science^[7].
• Frequent Graph Mining for Data Streams's Handle ID is recorded as 2292/25978^[8].
• Frequent Graph Mining for Data Streams's title is recorded as Frequent Graph Mining for Data Streams^[9].
• Frequent Graph Mining for Data Streams's copyright holder is recorded as Ranran Bian^[10].
• Frequent Graph Mining for Data Streams's thesis submitted to is recorded as University of Auckland^[11].
• Frequent Graph Mining for Data Streams's on focus list of Wikimedia project is recorded as NZThesisProject^[12].
• Frequent Graph Mining for Data Streams's copyright status is recorded as copyrighted^[13].
• Frequent Graph Mining for Data Streams's online access status is recorded as closed user group^[14].
• Frequent Graph Mining for Data Streams's thesis committee member is recorded as Yun Sing Koh^[15].
• Frequent Graph Mining for Data Streams's thesis committee member is recorded as Gillian Dobbie^[16].

Body

Designation and Status

Frequent Graph Mining for Data Streams's instance of is recorded as master's thesis^[3].