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Data Analysis, Machine Learning and Applications
Data analysis and machine learning are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as web and text mining, marketing, medical science, bioinformatics and business intelligence. This volume contains the revised versions of selected papers in the field of data analysis, machine learning and applications presented during the 31st Annual Conference of the German Classification Society (Gesellschaft für Klassifikation - GfKl). The conference was held at the Albert-Ludwigs-University in Freiburg, Germany, in March 2007.
Advances in Cognitive Sociolinguistics
The book brings together ten studies into the social and conceptual aspects of language-internal variation. All contributions rely on a firm empirical basis in the form of advanced corpus-based techniques, experimenntal methods and survey-based research, or a combination of these. In the book, methods are sought that may adequately unravel the complex and multivariate dimensions intervening in the interplay between conceptual meaning and variationist factors. In terms of its descriptive scope, the volume covers three main areas: lexical and lexical-semantic variation, constructional variation, and research on lectal attitudes and acquisition. It thus illustrates how Cognitive Sociolinguistics studies both the variation of meaning, and the meaning of variation.
The Indo-Europeans
The existence of an Indo-European linguistic family, allowing for the fact that several languages widely dispersed across Eurasia share numerous traits, has been demonstrated for several centuries now. But the underlying factors for this shared heritage have been fiercely debated by linguists, historians, archaeologists, and anthropologists. The leading theory, of which countless variations exist, argues that this similarity is best explained by the existence, at one given point in time and space, of a common language and corresponding population. This ancient, prehistoric, population would then have diffused across Eurasia, eventually leading to the variation observed in historical and mode...
COMPSTAT 2008
18th Symposium Held in Porto, Portugal, 2008
Recommender Systems for Information Providers
Information providers are a very promising application area of recommender systems due to the general problem of assessing the quality of information products prior to the purchase. Recommender systems automatically generate product recommendations: customers profit from a faster finding of relevant products, stores profit from rising sales. All aspects of recommender systems are covered: the economic background, mechanism design, a survey of systems in the Internet, statistical methods and algorithms, service oriented architectures, user interfaces, as well as experiences and data from real-world applications. Specific solutions for areas with strong privacy concerns, scalability issues for large collections of products, as well as algorithms to lessen the cold-start problem for a faster return on investment of recommender projects are addressed. This book describes all steps it takes to design, implement, and successfully operate a recommender system for a specific information platform.
Context-Aware Ranking with Factorization Models
Context-aware ranking is an important task with many applications. E.g. in recommender systems items (products, movies, ...) and for search engines webpages should be ranked. In all these applications, the ranking is not global (i.e. always the same) but depends on the context. Simple examples for context are the user for recommender systems and the query for search engines. More complicated context includes time, last actions, etc. The major problem is that typically the variable domains (e.g. customers, products) are categorical and huge, the observations are very sparse and only positive events are observed. In this book, a generic method for context-aware ranking as well as its applicati...
Mutual Fund Performance and Performance Persistence
Peter Lückoff investigates why fund flows and manager changes act as equilibrium mechanisms and drive the performance of both previously outperforming and previously underperforming funds back to average levels.
Dialectological and Folk Dialectological Concepts of Space
In variational linguistics, the concept of space has always been a central issue. However, different research traditions considering space coexisted for a long time separately. Traditional dialectology focused primarily on the diatopic dimension of linguistic variation, whereas in sociolinguistic studies diastratic and diaphasic dimensions were considered. For a long time only very few linguistic investigations tried to combine both research traditions in a two-dimensional design – a desideratum which is meant to be compensated by the contributions of this volume. The articles present findings from empirical studies which take on these different concepts and examine how they relate to one ...
Advances in Knowledge Discovery and Data Mining, Part I
This book constitutes the proceedings of the 14th Pacific-Asia Conference, PAKDD 2010, held in Hyderabad, India, in June 2010.
Multiagent System Technologies
This book constitutes the proceedings of the 15th German Conference on Multiagent System Technologies, MATES 2017, held in Lepzig, Germany, in August 2017. The 17 full papers presented in this volume were carefully reviewed and selected from 24 submissions for inclusion in the proceedings. Over these 15 years, the MATES conference series has been aiming at the promotion of and the cross-fertilization between theory and application of intelligent agents and multi-agent systems.
