PPT-Overview of Data Mining and the KDD Process

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. Data Mining/Machine Learning Algorithms for Business Intelligence. Dr. Bambang Parmanto. Extraction Of Knowledge From Data. DSS Architecture: Learning and Predicting. Courtesy: Tim Graettinger. Data Mining: Definitions. Abstract. Although most business processes change over time, contemporary process mining techniques tend to . analyze. these processes as if they are in a steady state. Processes may change suddenly or gradually. The drift may be periodic (e.g., because of seasonal influences) or one-of-a-kind (e.g., the effects of new legislation). For the process management, it is crucial to discover and understand such concept drifts in processes.. Ryan . S.J.d. . Baker. PSLC Summer School 2010. Welcome to the EDM track!. Educational Data Mining. “Educational Data Mining is an emerging discipline, concerned with developing methods for exploring the unique types of data that come from educational settings, and using those methods to better understand students, and the settings which they learn in.” . 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…. Discovering Business Rules From Event Logs. Marlon Dumas. University of Tartu, Estonia. With contributions from . Luciano. . García-Bañuelos. , . Fabrizio. . Maggi. & . Massimiliano. de . Leoni. Discovering Business Rules From Event Logs. Marlon Dumas. University of Tartu, Estonia. With contributions from . Luciano. . García-Bañuelos. , . Fabrizio. . Maggi. & . Massimiliano. de . Leoni. CS240A . notes by C. . Zaniolo. Most Popular Data Mining Software. Rexer. Analytics Survey (Early 2007) . asked about the tools used often and occasionally. Clearly more popular than the rest were:. Spatiotemporal Mining of Atmospheric Data. Amy McGovern. Schools of Computer Science and Meteorology. amcgovern@ou.edu. . Why?. Image from the Norman Transcript. Photo from Amy McGovern. Image Courtesy: New York Times. Ryan . S.J.d. . Baker. PSLC Summer School 2012. Welcome to the EDM track!. On behalf of the track lead, John Stamper, and all of our colleagues. Educational Data Mining. “Educational Data Mining is an emerging discipline, concerned with developing methods for exploring the unique types of data that come from educational settings, and using those methods to better understand students, and the settings which they learn in.” . Dr. . Kalpakis. , Fall 2017. 1. What is Data Science?. Data scientists, ". The Sexiest Job of the 21st Century. " (Davenport and . Patil. , Harvard Business Review, 2012). M. uch . of the data science explosion is coming from the tech-world. www.pwc.com. TU/e, .  . September 17. th. , 2015. Zbigniew ‘Zibi’ Paszkiewicz, Ph.D.. Manager. System and Process Assurance. Data Assurance Group. zbigniew.paszkiewicz@be.pwc.com. Purpose. Process mining @ PwC. CSC 575. Intelligent Information Retrieval. Intelligent Information Retrieval. 2. Web Mining. Today. Overview of Web Data Mining. Web Content Mining / Text Mining. Web Usage Mining. Web Personalization. Credit: Gaby . Matalon. What is Data Mining?. The. . process . of analyzing data from different perspectives and summarizing it into useful information. It . uncovers patterns . in a large set of data. BA New York State University at Albany, American History with Honors. MBA Union Graduate College. Certificate in Management, Rockefeller Institute. Certificate in Management, Cornell School of Industrial and Labor Relations.