Redescriptions
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Redescriptions
Redescriptions was recently renamed as the Yearbook of Political Thought, Conceptual History and Feminist Theory. In volume 12 (2008) aspects of studying the politics of the past are thematized through feminist historians' discussion on war and the role of the worker in communist regimes. One article and two comments on an article published in volume 11 deal with contemporary theories of democracy. One of the included articles discusses the chances of democratization in the EU, and one carries out a fictional analysis of an undemocratic regime. Three articles propose rhetorical redescriptions of key political concepts, namely "objectivity", "decision" and "patriotism".
Redescription Mining
This book provides a gentle introduction to redescription mining, a versatile data mining tool that is useful to find distinct common characterizations of the same objects and, vice versa, to identify sets of objects that admit multiple shared descriptions. It is intended for readers who are familiar with basic data analysis techniques such as clustering, frequent itemset mining, and classification. Redescription mining is defined in a general way, making it applicable to different types of data. The general framework is made more concrete through many practical examples that show the versatility of redescription mining. The book also introduces the main algorithmic ideas for mining redescriptions, together with applications from various domains. The final part of the book contains variations and extensions of the basic redescription mining problem, and discusses some future directions and open questions.
Discovery Science
This book constitutes the proceedings of the 17th International Conference on Discovery Science, DS 2016, held in banff, AB, Canada in October 2015. The 30 full papers presented together with 5 abstracts of invited talks in this volume were carefully reviewed and selected from 60 submissions.The conference focuses on following topics: Advances in the development and analysis of methods for discovering scientific knowledge, coming from machine learning, data mining, and intelligent data analysis, as well as their application in various scientific domains.