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Table of Contents

Data Analysis Methodologies.- A Statistician’s View of Data Analysis.- Cluster Photometry: Present State of the Art and Future Developments.- Clustering Techniques and their Applications.- Problems and Solutions in Surface Photometry.- Classification of Low-Resolution Stellar Spectra via Template Matching — A Simulation Study.- An Approach to the Astronomical Optical Data Compression.- Coded Aperture Imaging.- Study of Pulsar Ligth Curves by Cluster Analysis.- Multivariate Cluster Analysis of Radio Pulsar Data.- Automatic Processing of Very Low-Dispersion Spectra.- Data Handling Systems Dedicated to Large Experiments.- VLA: Methodological and Computational Requirements.- Perspective on Data Analysis for the Space Telescope.- Present and Planned Large Groundbased Telescopes: an Overview of some Computer and Data Analysis Applications Associated with their Use.- Data Analysis for the ROSAT Mission.- Preparing Analysis of Hubble Space Telescope Data in Europe.- COMPASS: the COMPTEL Processing and Analysis Software System.- The Strasbourg Astronomical Data Centre (CDS) and the Setting Up of a European Astronomical Data Network.- An Indexing Algorithm for Large Multidimensional Arrays.- The European Scientific Data Archive for the Hubble Space Telescope.- Parallel Processing.- Cellular Machines: Theory and Practice.- The PAPIA Project.- Languages for Parallel Processors.- The Massively Parallel Processor: a Highly Parallel Scientific Computer.- Parallel Processing: from Low- to High-Level Vision.- Low Level Languages for the PAPIA Machine.- New Developments.- Expert Systems for Data Analysis.- An Unified View of Artificial Intelligence and Computer Vision.- Data Storage and Retrieval in Astronomy.- Vector Computers in Astronomical Data Analysis.- Panel Discussions.- DataAnalysis Trend in Optical and Radio Astronomy.- Data Analysis Trends in X-Ray and Gamma-Ray Astronomy.- Problems in Large Scale Experiments.- Trends in Parallel Processing Applications.