PPT-Presented by: Ramoza Ahsan and Xiao Qin

Presented by Ramoza Ahsan and Xiao Qin November 5 th 2013 Parallel Association Rule Mining Outline Background of Association Rule Mining Apriori Algorithm Parallel Association Rule Mining Count Distribution. This method in corporates a restarting scheme to automatical ly estimate the strong convexity parameter and achieves a nearly optimal iteration complexi ty Then we consider the regularized least squares LS problem in the highdimensional setting Alt kbutler3@nd.edu Ahsan.Kareem.1@nd.edu Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Ivana Lua 5, 10000 Zagreb, Croatia, This paper presents experimental results con November 5. th. , 2013. Parallel Association Rule Mining. Outline. Background of Association Rule Mining. Apriori Algorithm. Parallel Association Rule Mining. Count Distribution. Data Distribution. Candidate Distribution. Visit our . YouTube. Channel. Student and Instructor Resources Website (inset hyperlink here). Science Writing Resources for Learning . scwrl.ubc.ca. Read the complete transcript of the interview between Thomas Deane and . Ahsan.Kareem.1@nd.edu Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Ivana Lua 5, 10000 Zagreb, Croatia, ei, Taiwan The Seventh Asia-Pacific Conference on Wind Engin Liu. 2016/2/13. University of Texas at Austin. CS 381V: Visual Recognition. Discovering . the Spatial Extent . of. . Relative . Attributes. Xiao and Lee, ICCV 2015. Outline. Problem statement. Approach. Side Channels on ARM and . Their Implications for Android . Devices . Xiaokuan Zhang. , Yuan Xiao, . Yinqian. Zhang. Dept.. . of. . Computer. . Science. . &. . Engineering. The Ohio State University. Thermal & Fluids Analysis Workshop. TFAWS . 2016. August 1-5, 2016. NASA Ames Research Center. Mountain View, CA. TFAWS . Active . Thermal . Paper Session. Modeling of Gaseous Oxygen Liquefaction Inside Mars Ascent Vehicle Propellant Tank . Thermal & Fluids Analysis Workshop. TFAWS . 2016. August 1-5, 2016. NASA Ames Research Center. Mountain View, CA. TFAWS . Passive Thermal . Paper Session. Advanced Features of Thermal . D. esktop/SINDA-FLUINT:. Quantifying Architectural Debt. Agenda. Problem statement. Related work. Background. Approach. Expected contributions. Results achieved so far. Evaluation . plan. Conclusion. Problem Statement (1) . Flawed . Thermal & Fluids Analysis Workshop. TFAWS . 2016. August 1-5, 2016. NASA Ames Research Center. Mountain View, CA. TFAWS . Passive Thermal . Paper Session. Advanced Features of Thermal . D. esktop/SINDA-FLUINT:. .. Imagine living in a world where you are uncertain of everything. In a world where the only certainty is uncertainty. But surprisingly, you’re a lucky one. You’re not like the sad boys and girls you see walking in the market barefoot, skin and bone, empty eyes, and forever neglected stomachs.  You will never go to school and will never manage to have a happy life because your family doesn’t have enough money to send you to school or you’re a girl and your brothers are always put first before you. For some people, they don’t have to imagine. This is the world they’ve lived in their entire lives and this is where they will stay unless given an opportunity for education.. .. Wode. . yanjing. . xiao. .. Wode. . bizi. . da. .. Wode. . bizi. . xiao. .. Wode. . zuiba. . da. .. Wode. . zuiba. . xiao. .. Wode. . erduo. . da. .. Wode. . erduo. . xiao. .. Wode. . Correspondingauthor.NursingDepartmentofPekingUniversityPeople'sHospital,No.11XizhimenSouthStreet,XichengDistrict,Beijing,100044,China.E-mailaddress:wanglingyaoyao@sina.com(L.Wang).Peerreviewunderrespo