1. Data Mining with RJohn Maindonald (Centre for Mathematics and Its Applications, Australian National University)and Yihui Xie (School of Statistics, Renmin University of…

1. Management Information System (MIS) Dr. Lauren Talia, DBA MIS being incorporated with starting a business 2. These slides will present the history of MIS and how MIS has…

1. Setting Up Your First Hadoop Cluster Chad Vawter TriHUG Meeting: July 20, 2010 2. Speaker Background Netlib and Parallel Virtual Machine (PVM) High-volume messaging, complex…

1. Data Mining : The Discovery Technology for Knowledge Management Yike Guo Dept. of Computing Imperial College 2. Course Overview Goal Basic Concepts of Data Mining Basic…

1.Recommended References • This lecture assumes some knowledge on learning systems. We recommend:– P. Langley: Elements of Machine Learning. Morgan Kaufman 1996.– T.M.…

1.BNOSAC @ ThomasCook Challenges from a data mining point of view + solutions Connecting R with the outside world / our user experiencePrediction and Fuzzy Logic at ThomasCook…

Slide 1 GhostMiner Wine example Włodzisław Duch Dept. of Informatics, Nicholas Copernicus University, Toruń, Poland http://www.phys.uni.torun.pl/~duch ISEP Porto, 8-12…

Slide 1 Introduction to Data Mining Slide 2 Why Mine Data? Commercial Viewpoint Lots of data is being collected and warehoused –Web data, e-commerce –purchases at department/…

Slide 1Predictive Data Mining or Supervised Machine Learning [Classification] Slide 2 What is Learning? The word "learning" has many different meanings. It is used,…

Slide 1 Chapter 16 Parallel Data Mining 16.1From DB to DW to DM 16.2Data Mining: A Brief Overview 16.3Parallel Association Rules 16.4Parallel Sequential Patterns 16.5Summary…