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This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2008, held in Antwerp, Belgium, in September 2008. The 100 papers presented in two volumes, together with 5 invited talks, were carefully reviewed and selected from 521 submissions. In addition to the regular papers the volume contains 14 abstracts of papers appearing in full version in the Machine Learning Journal and the Knowledge Discovery and Databases Journal of Springer. The conference intends to provide an international forum for the discussion of the latest high quality research results in all areas related to machine learning and knowledge discovery in databases. The topics addressed are application of machine learning and data mining methods to real-world problems, particularly exploratory research that describes novel learning and mining tasks and applications requiring non-standard techniques.
The proceedings of ECML/PKDD 2004 are published in two separate, albeit - tertwined, volumes:theProceedingsofthe 15thEuropeanConferenceonMac- ne Learning (LNAI 3201) and the Proceedings of the 8th European Conferences on Principles and Practice of Knowledge Discovery in Databases (LNAI 3202). The two conferences were co-located in Pisa, Tuscany, Italy during September 20-24, 2004. It was the fourth time in a row that ECML and PKDD were co-located. - ter the successful co-locations in Freiburg (2001), Helsinki (2002), and Cavtat- Dubrovnik (2003), it became clear that researchersstrongly supported the or- nization of a major scienti?c event about machine learning and data mining in Europe. We...
This book constitutes the proceedings of the 5th International Conference on Algorithmic Aspects in Information Management, AAIM 2009, held in San Francisco, CA, USA, in June 2009. The 25 papers presented together with the abstracts of two invited talks were carefully reviewed and selected for inclusion in this book. While the areas of information management and management science are full of algorithmic challenges, the proliferation of data (Internet, biology, finance etc) has called for the design of efficient and scalable algorithms and data structures for their management and processing. This conference is intended for original algorithmic research on immediate applications and/or fundamental problems pertinent to information management and management science, broadly construed. The conference aims at bringing together researchers in Computer Science, Operations Research, Economics, Game Theory, and related disciplines.
We live in a digital Media Society, in which pictures are becoming more and more important. So, human communication is increasingly becoming a visual communication. That is not a new finding. But the new question is: What does this development mean for the law? Up to now the law is the part of the society which is most sceptical towards images. Law has still resisted the visual temptation. This will not last for ever. The rush of pictures in everyday life and in every part of the society is much too strong - and it is even getting stronger. The invasion of images will change the character of modern law deeply. Modern law will become a Pictorial Law.What are the chances and the risks of Pictorial Law and visual law communication? This is the topic of the book.
The European Conference on Machine Learning (ECML) and the European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD) were jointly organized this year for the ?fth time in a row, after some years of mutual independence before. After Freiburg (2001), Helsinki (2002), Cavtat (2003) and Pisa (2004), Porto received the 16th edition of ECML and the 9th PKDD in October 3–7. Having the two conferences together seems to be working well: 585 di?erent paper submissions were received for both events, which maintains the high s- mission standard of last year. Of these, 335 were submitted to ECML only, 220 to PKDD only and 30 to both. Such a high volume of scienti?c work ...
This book constitutes the refereed proceedings of the 17th European Conference on Machine Learning, ECML 2006, held, jointly with PKDD 2006. The book presents 46 revised full papers and 36 revised short papers together with abstracts of 5 invited talks, carefully reviewed and selected from 564 papers submitted. The papers present a wealth of new results in the area and address all current issues in machine learning.
This issue of Transpositiones showcases a range of interdisciplinary and critical approaches to classic and alternative conceptions of cognition and sources of knowledge. The articles reflect on the many types of sensory and extrasensory knowledge available to non-human beings and wonder whether and in what ways can we, as humans, perceive, conceptualize, and respect these knowledges. The authors highlight how the existence of multiple knowledges questions species boundaries and onto- and epistemological perspectives, in the process of learning not only about other beings but also from and along with them. This selection of texts attempts to contribute to overcoming the anthropocentric perception of subjectivity and to the abandoning of an optics based on the dualisms of nature and culture, spirit and matter, subject and object, animate and inanimate nature, physis and techne, etc., which are so firmly entrenched in the Western intellectual tradition.