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This bookconstitutes revised selected papers from the third ECML PKDD... Læs mere
This book constitutes the thoroughly refereed post-workshop proceedings of the 6th International Workshop on Big Data Benchmarking, WBDB 2015, held in Toronto, ON, Canada, in June 2015 and the 7th International Workshop, WBDB 2015, held in New Delhi, India, in December 2015.
The use of computers in qualitative research has redefined the way social researchers handle qualitative data. Two leading researchers in the field have written... Læs mere
Computer-Aided Qualitative Data Analysis addresses the central issues in using computers to support the process of qualitative research in ways which improve reliability and validity and ensure more systematic analysis.
This book is a detailed, empirical investigation into the question of whether academic social research can compete with the commercial sector, with its new technologies and big data, in order to classify, profile, and understand us.
A guide to using QSR NUD.IST - A software package for development, support and management of qualitative data analysis projects. It presents the software as a set of tools for approaching a range of research issues and projects that the researcher may encounter.
This book is designed to teach beginners how to use SPSS, one of the most widely used computer package for analysing quantitative data.
This book analyses societal trends and controversies related to developments in data ownership, access, construction, dissemination and interpretation, looking at the ways that society interacts with and uses statistical data.
This book will allow ecologists to get started with the application of remote sensing and to understand its potential and limitations.... Læs mere
This is a handbook on the use of CCTV in nature watching, conservation and ecological research. CCTV offers a unique ability to monitor wildlife in real time, stream video to the web, capture imagery of fast-moving species and maintain monitoring over long periods of time.
A proven textbook based on materials developed over the last decade to teach linear, generalized, and mixed model analysis to students of ecology, evolution, and environmental studies. While R is used throughout, the focus is firmly on statistical analysis.