The document provides an overview of the proceedings from a conference on Astronomical Data Analysis, held in San Diego, USA, from August 2-3, 2001. The conference was sponsored and published by SPIE—The International Society for Optical Engineering. The volume, titled "Astronomical Data Analysis," includes contributions from various experts in the field of astronomy and data science. The content is organized into several sessions covering different aspects of astronomical data analysis: 1. **Session 1: Data Mining: Sky Survey Data Analysis, Detection, and Classification** - Topics include quasar mining, finding bent-double radio galaxies, capabilities of the NASA/IPAC extragalactic database, multiwavelength cross-referencing, exploration of parameter spaces in a virtual observatory, and Astrogrid and data mining. 2. **Session 2: Data Modeling and Vision Models** - Focuses on advanced data mining tools, mission-independent data analysis applications, Bayesian bootstrap filtering for satellite attitude determination, and pattern recognition techniques for solar magnetic field measurement. 3. **Session 3: Data Analysis and Statistical Methods** - Discusses catalog extraction from astronomical images, adaptive image enhancement using genetic algorithms, estimating the instantaneous power spectrum of an X-ray binary system, and astronomical image decomposition using wavelets, ridgelets, and curvelets. 4. **Session 4: Image Compression, Databases, and Information Retrieval** - Covers information integration and retrieval, on-demand delivery of large compressed images, topic maps as a virtual observatory tool, and CCA performance of a new source list/EZW hybrid compression algorithm. 5. **Session 5: Virtual Observatory and Computational Grids** - Includes the evolution of Urania into the AVO, building the infrastructure for the virtual observatory, linking science analysis with observation planning, code sharing and collaboration, and interoperability tools for the Virtual Observatory. 6. **Session 6: Autonomous Agents and Distributed Computing Environments** - Features a data flow system for the very large telescope interferometer and data analysis with the Chandra data model library. Additionally, there is a poster session with contributions on new tools and methods for browsing HST images and spectra, advanced multi-archive data mining, photometric equalization of coronal images, data fusion and photometric restoration, source detection for the ISOCAM parallel survey, and cross-matching of point sources. The document concludes with an author index.The document provides an overview of the proceedings from a conference on Astronomical Data Analysis, held in San Diego, USA, from August 2-3, 2001. The conference was sponsored and published by SPIE—The International Society for Optical Engineering. The volume, titled "Astronomical Data Analysis," includes contributions from various experts in the field of astronomy and data science. The content is organized into several sessions covering different aspects of astronomical data analysis: 1. **Session 1: Data Mining: Sky Survey Data Analysis, Detection, and Classification** - Topics include quasar mining, finding bent-double radio galaxies, capabilities of the NASA/IPAC extragalactic database, multiwavelength cross-referencing, exploration of parameter spaces in a virtual observatory, and Astrogrid and data mining. 2. **Session 2: Data Modeling and Vision Models** - Focuses on advanced data mining tools, mission-independent data analysis applications, Bayesian bootstrap filtering for satellite attitude determination, and pattern recognition techniques for solar magnetic field measurement. 3. **Session 3: Data Analysis and Statistical Methods** - Discusses catalog extraction from astronomical images, adaptive image enhancement using genetic algorithms, estimating the instantaneous power spectrum of an X-ray binary system, and astronomical image decomposition using wavelets, ridgelets, and curvelets. 4. **Session 4: Image Compression, Databases, and Information Retrieval** - Covers information integration and retrieval, on-demand delivery of large compressed images, topic maps as a virtual observatory tool, and CCA performance of a new source list/EZW hybrid compression algorithm. 5. **Session 5: Virtual Observatory and Computational Grids** - Includes the evolution of Urania into the AVO, building the infrastructure for the virtual observatory, linking science analysis with observation planning, code sharing and collaboration, and interoperability tools for the Virtual Observatory. 6. **Session 6: Autonomous Agents and Distributed Computing Environments** - Features a data flow system for the very large telescope interferometer and data analysis with the Chandra data model library. Additionally, there is a poster session with contributions on new tools and methods for browsing HST images and spectra, advanced multi-archive data mining, photometric equalization of coronal images, data fusion and photometric restoration, source detection for the ISOCAM parallel survey, and cross-matching of point sources. The document concludes with an author index.