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This book constitutes the refereed proceedings of the 4th International Conference on Rough Sets and Current Trends in Computing, RSCTC 2004, held in Uppsala, Sweden in June 2004.

The 45 revised full papers and 60 revised short papers presented together with 3 invited papers and a bibliographic project report were carefully reviewed and selected from 248 submissions. The papers are organized in topical sections on theory, logic and rough sets, granular computing, rough and fuzzy relations, foundations of data mining, incomplete information systems, interestingness, multiagents and...

For this book, the editors invited contributions from indispensable research areas relevant to "chance discovery," which has been defined as the discovery of events significant for making a decision, and studied since 2000. The chapters contain contributions to identifying rare or hidden events and explaining their significance. The methods presented in this book are based on the interaction of human, machine, and humans' living environment.

Shusaku Endo's classic novel of enduring faith in dangerous times, soon to be a major motion picture directed by Martin Scorsese, starring Andrew Garfield, Liam Neeson, and Adam Driver

"Silence I regard as a masterpiece, a lucid and elegant drama."-The New York Review of Books

Seventeenth-century Japan: Two Portuguese Jesuit priests travel to a country hostile to their religion, where feudal lords force the faithful to publicly renounce their beliefs. Eventually captured and forced to watch their Japanese Christian brothers lay down their...

The aim of this book is to gather the most recent works that address issues related to the concept of mining complex data. The whole knowledge discovery process being involved, our goal is to provide researchers dealing with each step of this process by key entries. Actually, managing complex data within the KDD process implies to work on every step, starting from the pre-processing (e.g. structuring and organizing) to the visualization and interpretation (e.g. sorting or filtering) of the results, via the data mining methods themselves (e.g. classification, clustering, frequent patterns...