1. Data Mining in Germany IIM Conference, Oct. 24, 2012 Gottfried Schwarz, DLR > Lecture > Author Document > Datewww.DLR.de Chart 1

2. German “Data Mining” in Wikipedia and Google Wikipedia: [English] data mining = [German] Data-Mining Google (Oct. 23, 2012): “Data Mining” Germany  34.0 million hits “Data Mining” Germany business  16.5 million hits “Data Mining” Germany economics  9.8 million hits “Data Mining” Germany “computer science”  7.4 million hits “Data Mining” Germany chemistry  6.5 million hits “Data Mining” Germany geoscience  5.7 million hits “Data Mining” Germany physics  4.9 million hits > Lecture > Author Document > Datewww.DLR.de Chart 2

3. My Impressions: Data Mining in Germany University institutes: computer science (code and tool development) economics / business administration (teaching, use of existing tools) mathematics / statistics (development of methods) natural sciences (special data mining applications) Research establishments MPI INF, Fraunhofer IAIS, KIT, DLR (application of data mining) Authorities and organizations Webpage of the German Federal Statistical Office: “Data Mining”  3 hits Webpage of the German Research Community (DFG):  17 hits Industry Google: “data mining” BMW | Siemens  686,000 | 840,000 hits Google: “Gartner report” “data mining” Germany  188,000 hits > Lecture > Author Document > Datewww.DLR.de Chart 3

4. Our Work: Image Information Mining (Satellite Images) “Image processing” versus “image mining” Image processing example: Take images of forested areas. How much biomass do we have? Image pre-processing, classification and analysis, model support Image mining example: Search for North Sea images with oil slicks. How much improvement do we have over the years? Feature extraction, active learning, semantic annotation, candidate image retrieval and analysis > Lecture > Author Document > Datewww.DLR.de Chart 4

5. European Conference on Data Mining (ECDM’12) Parallel and distributed data mining algorithms Data streams mining Graph mining Spatial data mining Text video, multimedia data mining Web mining Pre-processing techniques Visualization Security and information hiding in data mining Databases Bioinformatics Biometrics Image analysis Financial modeling Forecasting Classification Clustering Social Networks Educational data mining Core Data Mining Topics Data Mining Applications > Lecture > Author Document > Datewww.DLR.de Chart 5

6. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2012) - Tutorials Advanced Topics in Data Stream Mining Advanced Topics in Ensemble Learning Decomposing Binary Matrices: Where Linear Algebra Meets Combinatorial Data Mining Mining Deep Web Repositories PAC-Bayesian Analysis and Its Applications Random Projections for Machine Learning and Data Mining: Theory and Applications Probabilistic Modeling of Ranking Understanding and Managing Cascades on Large Graphs > Lecture > Author Document > Datewww.DLR.de Chart 6

7. Keynote Lectures during this Conference Human-machine communication Data Mining in Astrophysics Establishing a Challenge Evaluation program for the IIM Community Detection of Compound Structures in Very High Spatial Resolution Images Visual Analytics East Japan Great Earthquake and Tsunami: Detection of hazards by polarimetric SAR > Lecture > Author Document > Datewww.DLR.de Chart 7

8. Outlook: How does all this fit together? Collaboration between satellite image miners and other communities? For instance, advanced methods of machine learning, knowledge discovery in databases, and remote sensing? Do we have common goals? > Lecture > Author Document > Datewww.DLR.de Chart 8