Overview and Goals Data arriving in time order (a data stream) arises in fields ranging from physics to finance to medicine to music, just to name a few. Often the data comes from sensors (in physics and medicine for example) whose data rates continue to improve dramati cally as sensor technology improves. Further, the number of sensors is increasing, so correlating data between sensors becomes ever more critical in orderto distill knowl edge from the data. On-line response is desirable in many applications (e.g., to aim a telescope at a burst of activity in a galaxy or to perform magnetic resonance-based real-time surgery). These factors - data size, bursts, correlation, and fast response motivate this book. Our goal is to help you design fast, scalable algorithms for the analysis of single or multiple time series. Not only will you find useful techniques and systems built from simple primi tives, but creative readers will find many other applications of these primitives and may see how to create new ones of their own. Our goal, then, is to help research mathematicians and computer scientists find new algorithms and to help working scientists and financial mathematicians design better, faster software.
This volume reviews mid-1980s research in the development of computer systems that employ advanced technology to meet the needs of an expanding user population, while remaining sensitive to human requirements. Contributions from researchers in such diverse areas as user interface technology through to controlled experimental evaluations of systems and human factors principles are included in this volume. Topics considered includes recommendations for dialogue design, views of organizations on human factors, graphical and multimedia human/computer interaction, perspectives for the future of interactive systems, and the design of languages for applications in teleconferencing, databases for videotex systems and office automation.