PPT-Beyond Process Mining:

Discovering Business Rules From Event Logs Marlon Dumas University of Tartu Estonia With contributions from Luciano GarcíaBañuelos Fabrizio Maggi amp Massimiliano de Leoni. 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.. Sensitive Processes through Process . Mining. Jorge . Munoz-Gama . and. . Isao . Echizen. Insuring . Sensitive Processes through Process . Mining. Insuring Scenario. Insurance Company. 3. Clients. Chemometrics. SPECTRAL EVOLUTION. www.spectralevolution.com. SPECTRAL EVOLUTION. www.spectralevolution.com. Incorporated 2004. Full line supplier of UV-VIS-NIR spectrometers for lab, inline process & field portable remote sensing. Discovering Business Rules From Event Logs. Marlon Dumas. University of Tartu, Estonia. With contributions from . Luciano. . García-Bañuelos. , . Fabrizio. . Maggi. & . Massimiliano. de . Leoni. Rachel J.. Kristen A.. Thais D.. Mine, Mine, Mine. A look at the life of miners. http://. youtu.be/hyK5MErw3r4. . Coal Miners Prayer. Each . dawn as we rise, lord we know all too well,. We face only one thing – a pit filled with hell.. 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. 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. Tiffany. . Chiu,. . Yunsen. Wang. . and. . Miklos. . Vasarhelyi. Rutgers 18th Fraud Seminar, December 7. th. This paper aims at providing a framework on how process mining can be applied to identify fraud schemes and assessing the riskiness of business processes. . Chemometrics. SPECTRAL EVOLUTION. www.spectralevolution.com. SPECTRAL EVOLUTION. www.spectralevolution.com. Incorporated 2004. Full line supplier of UV-VIS-NIR spectrometers for lab, inline process & field portable remote sensing. Marlon Dumas. University of Tartu, Estonia. With contributions from . Luciano. . García-Bañuelos. , . Fabrizio. . Maggi. & . Massimiliano. de . Leoni. Theory Days, . Saka. , 2013. Business Process Mining. Camille Perral and Dominik Makocki. ARC OF THE ENVIRONMENTAL COST OF COAL MINING .                                                                                                       4. . J. Carmona. R. Gavaldà. UPC (Barcelona, Spain). 1. Outline. The Advent of Process Mining (PM). T. he challenge of Concept Drift (CD). Key ingredients. Online strategy for CD in PM. Experiments. Work in progress. 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. 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.