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Replaying history on process models for conformance checking and performance analysis. WIRES Data mining and Knowledge Discovery, 2 (2), 182â 192.
Data mining and Knowledge Discovery, 14 (2), 245â 304. Barros, A.,Decker, G.,Dumas, M, . & Weber, F. 2007).
IEEE Symposium on Computational Intelligence and Data mining (CIDM 2013)( pp. 127â 134. Singapore: IEEE. Montahari-Nezhad, H.,Saint-paul, R.,Casati, F,
IEEE Symposium on Computational Intelligence and Data mining (CIDM 2011)( pp. 184â 191. Paris: IEEE. OMG.
IEEE Symposium on Computational Intelligence and Data mining (CIDM 2011)( pp. 148â 155. Paris: IEEE. Weijters, A,
In Proceedings of the IEEE symposium on computational intelligence and data mining (CIDM)( pp. 111â 118.
In Proceedings of the SIAM international conference on data mining (SDM)( pp. 644â 655. SIAM. 154 M. Dumas and F. M. Maggi Identification of Business Process Models in a Digital World Peter Loos, Peter Fettke, Juâ rgen Walter, Tom Thaler,
a collaborative research center that gathers ten Estonian IT organizations with the aim of conducting industry-driven research in service engineering and data mining. From 2000 to 2007,
G#2v 7783 Data mining G#3v 7784 Clustering G#4v 7785 Cluster analysis 0#5#cluster analysis Cluster analysis
G#3v 7787 Data mining 0#4#data mining Data mining G#3v 7788 Information mining 0#4#information mining Information mining
G#3v 7789 Text mining 0#4#text mining Text mining G#3v 7790 Web mining 0#4#web mining Web mining
E-health addresses new healthcare trends by facilitating individual information capture, data mining, and concomitant access by multiple stakeholders..
However, it has to be kept in mind that data mining is not only a tool for the surveillance of citizens and
data mining create tensions between citizens and governments Technological progress and growing degree of interconnectedness, growing
and Newton Minow,"Government Data mining,"2008 Cave, Jonathan, C Van Oranje, Rebecca Schindler, Alaa Shehabi,
Business intelligence and in particular Data mining are useful tools in the detection of outbreaks when used for the real time detection of infection trends within hospitals
member states through the use of Business intelligence and Data mining for real time detection of in-hospital infections.
ï A cryptographic technology for privacy preserving data mining of patient health data to support clinical research and knowledge creation for clinical decision sup
Data mining with neural networks: Solving business problems from application development to decision support. Mcgraw-hill, Inc. Hightstown, New
proposed data mining and data collection taxes, directed specifically at large internet companies such as Google and Facebook. 125 Higher taxes on ICT-producing companies
Jacob Albert, âoefrance Wants to Tax Data mining, and Itâ s Not a Bad Idea, â Quartz
revenue, and has used data mining to achieve a fourfold improvement in churn forecasting. The operator found that customers planning to quit
skills in the areas of data mining, statistics and domain expertise, as well as data preparation cleaning and visualization.
and data mining that allow iden -tifying patterns of behaviour and usages. see the latest version of the three description tables pre
community, data mining techniques can be employed as part of future enhancements to provide credibility and integration of information as suggested by Lo and Hsieh (2003.
-agement, fast data mining and retrieval, refreshing and removal optimized for dif -ferent types of data 18
and also solutions for large scale/real-time data mining/social network analysis so as to achieve successful retrieval and integration of information from an ex
data mining, adaptive control, robust control, game theory, operation research etc.)) for the algorithms and rules embedded in the Cognitive Enablers,
Video data mining: Semantic indexing and event detection from the association perspective. IEEE Transactions on Knowledge and Data engineering, 665â 677 (2005
The large-scale research programmes in data mining funded by the Defence Advanced Research Projects Agency (DARPA) at Stanford and a few other universities provided the
is using data mining to help understand which college students are more likely to succeed in which
Networks. â Data mining and Knowledge Discovery 27 (2: 225â 58 Available at http://link. springer. com/article/10.1007/s10618-012
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