Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book offers a snapshot of the state-of-the-art in classification at the interface between statistics, computer science and application fields. The contributions span a broad spectrum, from theoretical developments to practical applications; they all share a strong computational component. The topics addressed are from the following fields: Statistics and Data Analysis; Machine Learning and Knowledge Discovery; Data Analysis in Marketing; Data Analysis in Finance and Economics; Data Analysis in Medicine and the Life Sciences; Data Analysis in the Social, Behavioural, and Health Care Sciences; Data Analysis in Interdisciplinary Domains; Classification and Subject Indexing in Library and Information Science. The book presents selected papers from the Second European Conference on Data Analysis, held at Jacobs University Bremen in July 2014. This conference unites diverse researchers in the pursuit of a common topic, creating truly unique synergies in the process.p>.

Statistics. --- Mathematical statistics. --- Data mining. --- Biostatistics. --- Statistics and Computing/Statistics Programs. --- Data Mining and Knowledge Discovery. --- Statistics for Life Sciences, Medicine, Health Sciences. --- Statistics for Business/Economics/Mathematical Finance/Insurance. --- Probability and Statistics in Computer Science. --- Big data --- Social aspects. --- Data sets, Large --- Large data sets --- Data sets --- Computer science. --- Statistical methods. --- Statistics for Business, Management, Economics, Finance, Insurance. --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Informatics --- Science --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Econometrics --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Statistics . --- Biological statistics --- Biology --- Biometrics (Biology) --- Biostatistics --- Biomathematics

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This open access book brings together a set of original studies that use cutting-edge computational methods to investigate conflict at various geographic scales and degrees of intensity and violence. Methodologically, this book covers a variety of computational approaches from text mining and machine learning to agent-based modelling and social network analysis. Empirical cases range from migration policy framing in North America and street protests in Iran to violence against civilians in Congo and food riots world-wide. Supplementary materials in the book include a comprehensive list of the datasets on conflict and dissent, as well as resources to online repositories where the annotated code and data of individual chapters can be found and where (agent-based) models can be re-produced and altered. These materials are a valuable resource for those wishing to retrace and learn from the analyses described in this volume and adapt and apply them to their own research interests. By bringing together novel research through an international team of scholars from a range of disciplines, Computational Conflict Research pioneers and maps this emerging field. The book will appeal to students, scholars, and anyone interested in the prospects of using computational social sciences to advance our understanding of conflict dynamics.

Peace studies & conflict resolution --- Society & social sciences --- Terrorism, armed struggle --- Data mining --- Social sciences—Data processing. --- Social sciences—Computer programs. --- Peace. --- Terrorism. --- Political violence. --- Data mining. --- Computational Social Sciences. --- Conflict Studies. --- Terrorism and Political Violence. --- Data Mining and Knowledge Discovery. --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Violence --- Political crimes and offenses --- Terrorism --- Acts of terrorism --- Attacks, Terrorist --- Global terrorism --- International terrorism --- Political terrorism --- Terror attacks --- Terrorist acts --- Terrorist attacks --- World terrorism --- Direct action --- Insurgency --- Subversive activities --- Political violence --- Terror --- Coexistence, Peaceful --- Peaceful coexistence --- International relations --- Disarmament --- Peace-building --- Security, International --- Social sciences --- Social sciences—Data processing --- Social sciences—Computer programs --- Peace

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)