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This book constitutes the conference proceedings of the 16th International Symposium on Intelligent Data Analysis, which was held in October 2017 in London, UK.The 28 full papers presented in this book were carefully reviewed and selected from 66 submissions.

The general theme of the Intelligent Data Analysis (IDA) Symposia is the - telligent use of computers in complex data analysis problems. The ?eld has matured su?ciently that some re-considerationof our objectives was required in order to retain the distinctiveness of IDA. Thus, in addition to the more tra- tional algorithm- and application-oriented submissions, we sought submissions that speci?cally focus on aspects of the data analysis process. For example, - teractive tools to guide and support data analysis in complex scenarios. With the increasingavailabilityofautomaticallycollecteddata,...

There is increasing pressure to protect computer networks against unauthorized intrusion, and some work in this area is concerned with engineering systems that are robust to attack. However, no system can be made invulnerable. Data Analysis for Network Cyber-Security focuses on monitoring and analyzing network traffic data, with the intention of preventing, or quickly identifying, malicious activity.Such work involves the intersection of statistics, data mining and computer science. Fundamentally, network traffic is relational, embodying a link between devices. As such, graph analysis...

As an under-studied area of academic research, the analysis of computer network traffic data is still in its infancy. However, the challenge of detecting and mitigating malicious or unauthorised behaviour through the lens of such data is becoming an increasingly prominent issue.This collection of papers by leading researchers and practitioners synthesises cutting-edge work in the analysis of dynamic networks and statistical aspects of cyber security. The book is structured in such a way as to keep security application at the forefront of discussions. It offers readers easy access into the...

Cell biology is a rapidly advancing subject. Understanding principles of nuclear architecture is a key question. Researchers are starting to develop more strict and rigorous methods of image processing and quantitative analysis to provide an end-to-end process supporting the fundamental biology.

This book has chapters contributed by experts in the field that address the whole endeavour of teasing out the principles of nuclear architecture: ranging from fundamental science, through imaging processing and quantitative analysis, to applications, related to disease. This...

Cell biology is a rapidly advancing subject. Understanding principles of nuclear architecture is a key question. Researchers are starting to develop more strict and rigorous methods of image processing and quantitative analysis to provide an end-to-end process supporting the fundamental biology.

This book has chapters contributed by experts in the field that address the whole endeavour of teasing out the principles of nuclear architecture: ranging from fundamental science, through imaging processing and quantitative analysis, to applications, related to disease. This...

As an under-studied area of academic research, the analysis of computer network traffic data is still in its infancy. However, the challenge of detecting and mitigating malicious or unauthorised behaviour through the lens of such data is becoming an increasingly prominent issue.This collection of papers by leading researchers and practitioners synthesises cutting-edge work in the analysis of dynamic networks and statistical aspects of cyber security. The book is structured in such a way as to keep security application at the forefront of discussions. It offers readers easy access into the...

This volume constitutes the refereed proceedings of the 4th International Conference on Intelligent Data Analysis, IDA 2001, held in Cascais, Portugal, in September 2001. The 37 revised full papers presented were carefully reviewed and selected from a total of almost 150 submissions. All contemporary aspects of this interdisciplinary field are addressed the areas covered include statistics, artificial intelligence, neural networks, machine learning, data mining, and interactive dynamic data visualization.