PPT-CS6220: Data Mining Techniques

Instructor Yizhou Sun yzsunccsneuedu January 6 2013 Chapter 1 Introduction Course Information Class homepage http wwwccsneueduhomeyzsunclasses2013SpringCS6220indexhtm. elseviercomlocatetechsoc Data mining techniques for customer relationship management Chris Rygielski JyunCheng Wang David C Yen a Department of DSC MIS Miami University Oxford OH USA Department of Information Management National ChungCheng Chapter 1. Kirk Scott. 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.). Chapter 1. Kirk Scott. 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.). Data Mining. Data Triangle. Quotes. “Drowning in data but starving for knowledge”. “Computers . have promised us a fountain of wisdom but delivered a flood of data”. Definition. According to Encyclopedia Britannica…. Arvind. . Balasubramanian. arvind@utdallas.edu. Multimedia . Lab (ECSS 4.416). The University of Texas at Dallas. Me and My Research. Research Interests: . Machine Learning. Data Mining. Statistical Analysis. Arvind. . Balasubramanian. arvind@utdallas.edu. Multimedia Lab. The University of Texas at Dallas. Me and My Research. Research Interests: . Machine Learning. Data Mining. Statistical Analysis. Applications of the above in Multimedia. 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. 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.). 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. http://www.cs.uic.edu/~. liub. CS583, Bing Liu, UIC. 2. General Information. Instructor: Bing Liu . Email: liub@cs.uic.edu . Tel: (312) 355 1318 . Office: SEO 931 . Lecture . times: . 9:30am-10:45am. Head, Asst. Professor,. A.P.C. . Mahalaxmi. College for Women,. Thoothukudi. -628 002.. . Data Mining : . Introduction . to C. oncepts and Techniques. Module overview. Evolution of Database . Course/Research Topics. Material derived from other sources and “Mining Massive Datasets” from:. Jure Leskovec, . Anand. . Rajaraman. , Jeff Ullman . Stanford University. http://www.mmds.org . Fayé A. Briggs, PhD. Bamshad Mobasher. DePaul University. 2. From Data to Wisdom. Data. The raw material of information. Information. Data organized and presented by someone. Knowledge. Information read, heard or seen and understood and integrated.