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Active Mining
Focusing on data mining, this work is a joint effort from researchers in Japan, and includes a report on the forefront of data collection, user-centred mining and user interaction/reaction. It offers an overview of modern solutions with real-world applications, sharing hard-learned experiences.
Computer Security - ESORICS 2003
ESORICS, the European Symposium On Research In Computer Security, is the leading research-oriented conference on the theory and practice of computer - curity in Europe. The aim of ESORICS is to further the progress of research in computer security by establishing a European forum for bringing together - searchersinthisarea,bypromotingtheexchangeofideaswithsystemdevelopers and by encouraging links with researchers in related areas. ESORICS is coordinated by an independent steering committee. In the past it took place every two years at various locations throughout Europe. Starting this year, it will take place annually. ESORICS 2003 was organized by Gjøvik University College, and took place ...
Active Mining
This book constitutes the thoroughly refereed postproceedings of the Second International Workshop on Active Mining, AM 2003, held in Maebashi, Japan, in October 2003 as a satellite workshop of ISMIS 2003. The 16 revised full papers presented together with 2 tutorial papers and an overview of the Japanese Active Mining Project went through 2 rounds of reviewing and improvement and were selected from initialy 38 submissions. The papers are organized in topical sections on active information collection, active data mining, and active user reaction. Many current aspects of active mining are addressed, ranging from theoretical and methodological topics to algorithms and their applications in fields such as bioinformatics, medicine, and life science more generally.
2002 IEEE International Conference on Data Mining
Consists of 72 full papers and 49 short papers from the December 2002 conference on the design, analysis, and implementation of data mining theory, systems, and applications. Topics of the full papers include evolutionary time series segmentation for stock data mining, cluster merging and splitting
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