SIAM Int’l Conference on Data Mining, MinneapolisMN, Vereinigte Staaten

Data mining is an important tool in science, engineering, industrial processes, healthcare, business, and medicine&#046; The datasets in these fields are large, complex, and often noisy&#046; Extracting knowledge requires the use of sophisticated, high&#8211;performance and principled analysis techniques and algorithms, based on sound statistical foundations&#046; These techniques in turn require powerful visualization technologies; implementations that must be carefully tuned for performance; software systems that are usable by scientists, engineers, and physicians as well as researchers; and infrastructures that support them&#046;<br>This conference provides a venue for researchers who are addressing these problems to present their work in a peer&#8211;reviewed forum&#046; It also provides an ideal setting for graduate students and others new to the field to learn about cutting&#8211;edge research by hearing outstanding invited speakers and attending tutorials (included with conference registration)&#046; A set of focused workshops are also held on the last day of the conference&#046; The proceedings of the conference are published in archival form, and are also made available on the SIAM web site&#046;<br><b>Keywords:</b> Methods and Algorithms<br>Classification Clustering Frequent Pattern Mining Probabilistic and Statistical Methods Spatial and Temporal Mining Data Streams Abnormality and Outlier Detection Feature Selection Mining with Constraints Data Cleaning and Noise Reduction Computational Learning Theory Scalable and High&#8211;Performance Mining Mining Graphs Mining Semistructured Data Mining Complex Datasets Mining on Emerging Architectures Text Mining Web Mining<br>Applications<br>Astronomy & Astrophysics High Energy Physics Collaborative Filtering Earth Science Risk Management Supply Chain Management Customer Relationship Management Finance Genomics and Bioinformatics Drug Discovery Healthcare Management Automation & Process Control Logistics Management Intrusion and Fraud detection Intelligence Analysis Sensor Network Applications Social Network Analysis Application Case Studies Other Novel Applications<br>Human Factors and Social Issues<br>Ethics of Data Mining Intellectual Ownership Privacy Models Privacy Preservation Techniques Risk Analysis User Interfaces Interestingness and Relevance Data and Result Visualization<br>