Skip to content
Search events. View events.
 

All Categories

Submit Events

Click for help in using calendar displays. Print the contents of the current screen.

Event Search

(New Search)
  From:
  To:


 

 


Event Details
Notify me if this event changes.Add this event to my personal calendar.Email this event to a friend.
Go Back
CS: M Sc. Defense: "Fast and Scalable MapReduce-based Vertical Mining"; Jialiang Yu
Start Date: 7/12/2018Start Time: 1:30 PM
End Date: 7/12/2018End Time: 2:45 PM
Event Description:
ABSTRACT
Mining uncertain data is challenging because uncertainty is usually represented as floating-point/real numbers which are infinite (cf. representing finite occurrence counts when mining precise data). This means that they are not easy to store in a data structure. Although there exist some data mining algorithms for handling uncertain data, these algorithms become inefficient when size of data becomes so big. Vertical data mining algorithms have advantages in that they run fast and require low memory space. Hence, for my MSc thesis, I propose two vertical mining algorithms that mine big uncertain data. Analytical and experimental evaluation results show that, between the two algorithms, MR-UV-Eclat is fast and scalable.
Location Information:
University of Manitoba - Fort Garry - EITC E2  (View Map)
75 Chancellors Circle
Winnipeg, MB
Room: 528

Calendar Software powered by Dude Solutions   
Select item(s) to Search
Select item(s) to Search
Select item(s) to Search











Select item(s) to Search