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".

Following the profile of recent issues of the Yearbook, volume 13 (2009) of Redescriptions focuses on contemporary debates around the concept of democracy. Several articles, by scholars from different fields (political theory, philosophy, history, rhetoric, women's studies, law), discuss the present state and future prospects of democracy, its relationship to other concepts (deliberation, rhetoric, parliament, majority vs. minority) as well as its (in)compatibility with the power of the courts and the expertise. In this volume examples of conceptual histories are provided by articles on women's suffrage and friendship.

This book constitutes the proceedings of the 21st International Conference on Discovery Science, DS 2018, held in Limassol, Cyprus, in October 2018, co-located with the International Symposium on Methodologies for Intelligent Systems, ISMIS 2018. The 30 full papers presented together with 5 abstracts of invited talks in this volume were carefully reviewed and selected from 71 submissions. The scope of the conference includes the development and analysis of methods for discovering scientific knowledge, coming from machine learning, data mining, intelligent data analysis, big data analysis as well as their application in various scientific domains. The papers are organized in the following topical sections: Classification; meta-learning; reinforcement learning; streams and time series; subgroup and subgraph discovery; text mining; and applications.

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.

Like a data-guzzling turbo engine, advanced data mining has been powering post-genome biological studies for two decades. Reflecting this growth, Biological Data Mining presents comprehensive data mining concepts, theories, and applications in current biological and medical research. Each chapter is written by a distinguished team of interdisciplin

This book constitutes the proceedings of the 15th International Conference on Formal Concept Analysis, ICFCA 2019, held in Frankfurt am Main, Germany, in June 2019. The 15 full papers and 5 short papers presented in this volume were carefully reviewed and selected from 36 submissions. The book also contains four invited contributions in full paper length. The field of Formal Concept Analysis (FCA) originated in the 1980s in Darmstadt as a subfield of mathematical order theory, with prior developments in other research groups. Its original motivation was to consider complete lattices as lattices of concepts, drawing motivation from philosophy and mathematics alike. FCA has since then developed into a wide research area with applications much beyond its original motivation, for example in logic, data mining, learning, and psychology.