PPT-Association Rule Mining

Data Mining and Knowledge Discovery Prof Carolina Ruiz and Weiyang Lin Department of Computer Science Worcester Polytechnic Institute Sample Applications Sample Commercial Applications Market basket analysis. Prepared by : . Ajit. . Padukone. ,. . . Komal. . Kapoor. Outline. Association Rule Mining. Applications. Temporal Association Rule Mining. Existing Techniques and their Limitations. 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. Emre Eftelioglu. 1. What is Knowledge Discovery in Databases?. Data mining is actually one step of a larger process known as . knowledge discovery in databases. (KDD).. The KDD process model consists of six phases. Debapriyo Majumdar. Data Mining – Fall 2014. Indian Statistical Institute Kolkata. August 4 and 7, 2014. Transaction id. Items. 1. Bread, Ham, Juice,. Cheese, Salami, Lettuce. 2. Rice, . Dal, Coconut, Curry leaves, Coffee, Milk, Pickle. Risk Prediction. Gyorgy J. Simon. Dept. of Health Sciences Research. Mayo Clinic. SHARPn. Summit 2012. Outline. Introduction. Modeling Diabetes Risk. Association Rule Mining. Results. Diabetes Disease Network Reconstruction. By Ben Degler. Overview. Ant Colony Optimization. How it works. Data Mining. Classification. Clustering. Ant Colony Optimization (ACO). Introduced in early 1990’s. Social Insects. Swarm Intelligence. Prepared by: Eng. . Hiba. Ramadan. Supervised by: . Dr. . Rakan. . Razouk. . Outline. Introduction. key directions in the field of privacy-preserving data mining. Privacy-Preserving Data Publishing. Iris . virginica. 2. Iris . versicolor. 3. Iris . setosa. 4. 1.1 Data Mining and Machine Learning. 5. Definition of Data Mining. The process of discovering patterns in data.. (The patterns discovered must be meaningful in that they lead to some advantage, usually an economic one.). in Robotics Engineering. Blink . Sakulkueakulsuk. D. . Wilking. , and T. . Rofer. , . Realtime. Object Recognition . Using Decision . Tree . Learning, 2005. . http. ://. www.informatik.uni-bremen.de/kogrob/papers/rc05-objectrecognition.pd. Chapter 6. . Mining Frequent Patterns, Association and Correlations: Basic Concepts and Methods. Jiawei Han, Computer Science, Univ. Illinois at Urbana-Champaign. , . 2017. 1. Chapter 6: Mining Frequent Patterns, Association and Correlations: Basic Concepts and Methods. Core Methods in Educational Data Mining EDUC 691 Spring 2019 Assignment BA4 Questions? Comments? Concerns? Association Rule Mining Today’s Class The Land of Inconsistent Terminology Association Rule Mining Association Rule Mining. Examples of Association Rule Mining. Market basket analysis/affinity analysis. What products are bought together?. Where to place items on grocery store shelves?. Amazon’s recommendation engine. Global . and Local Association Rules. Abhishek Mukherji*. . Elke . A. . . Rundensteiner Matthew . O. . Ward. Department of Computer Science, Worcester Polytechnic Institute, MA, USA. Integrated Resources Development . Programme. Colloquium. on Beneficiation, Industrialization, Localization and Transfer Pricing . 05 February 2019. Presented to: . Trade and Industry Committee. 1.