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We met again in front of the statue of Gottfried Wilhelm von Leibniz in the city of Leipzig. Leibniz, a famous son of Leipzig, planned automatic logical inference using symbolic computation, aimed to collate all human knowledge. Today, artificial intelligence deals with large amounts of data and knowledge and finds new information using machine learning and data mining. Machine learning and data mining are irreplaceable subjects and tools for the theory of pattern recognition and in applications of pattern recognition such as bioinformatics and data retrieval. This was the fourth edition of MLDM in Pattern Recognition which is the main event of Technical Committee 17 of the International Ass...
The 7th European Conference on Case-Based Reasoning (ECCBR 2004) was held from August 30 through September 2, at the Complutense University of Madrid, Spain. ECCBR was born in Aberdeen, UK (2002), after a series of European workshops held in Trento, Italy(2000), Dublin, Ireland(1998), Lausanne, Switzerland (1996), Paris, France (1994), and Kaiserslautern, Germany (1993). ECCBR is the premier international forum for researchers and practitioners of case-based reasoning (CBR) in the years interleaving with the biennial international counterpart ICCBR, whose 5th edition was held in Trondheim, Norway in 2003. The CBR community has shown for years a deep interest in the application of its researc...
This book constitutes the refereed proceedings of the 6th Industrial Conference on Data Mining, ICDM 2006, held in Leipzig, Germany in July 2006. Presents 45 carefully reviewed and revised full papers organized in topical sections on data mining in medicine, Web mining and logfile analysis, theoretical aspects of data mining, data mining in marketing, mining signals and images, and aspects of data mining, and applications such as intrusion detection, and more.
Contains the full texts of all Tax Court decisions entered from Oct. 24, 1942 to date, with case table and topical index.
This book provides the first in-depth analysis of the relationship between exchange rates and the prices of internationally traded goods, using Australian imports of manufactures as a case study. The study is conducted in two stages: first, exchange rate pass-through elasticites are estimated by applying an econometric procedure which avoids the pit-falls in previous studies to a unique data set comprising 50 product categories; second, the determinants of pass-through are investigated within a model which accounts for market structure, product differentiation, non-tariff barriers and the pricing practices of multinational corporations. Separate chapters provide reviews of the theory and evidence on pass-through, and recent developments in time-series econometrics.
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