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Intelligence and Security Informatics
This book constitutes the refereed proceedings of the First European Conference on Intelligence and Security Informatics, EuroISI 2008, held in Esbjerg, Denmark, in December 2008. The 23 revised full papers and 2 revised poster papers presented were carefully reviewed and selected from 48 submissions. The papers are organized in topical sections on criminal and social network analysis, intelligence analysis and knowledge discovery, Web-based intelligence monitoring and analysis, privacy protection, access control, and digital rights management, malware and intrusion detection, as well as surveillance and crisis management.
The Oxford Handbook of Environmental Criminology
The study of how the environment, local geography, and physical locations influence crime has a long history that stretches across many research traditions. These include the neighborhood effects approach developed in the 1920s, the criminology of place, and a newer approach that attends to the perception of crime in communities. Aided by new technologies and improved data-reporting in recent decades, research in environmental criminology has developed rapidly within each of these approaches. Yet research in the subfield remains fragmented and competing theories are rarely examined together. The Oxford Handbook of Environmental Criminology takes a unique approach and synthesizes the contribu...
Intelligence and Security Informatics
This book constitutes the proceedings of the Pacific Asia Workshop on Intelligence and Security Informatics 2010, held in Hyderabad, India, in June 2010.
Intelligence and Security Informatics
This book constitutes the refereed proceedings of the Pacific Asia Workshop on Intelligence and Security Informatics, PAISI 2007, held in Chengdu, China in April 2007. Coverage includes crime analysis, emergency response and surveillance, intrusion detection, network security, data and text mining, cybercrime and information access and security, intrusion detection, network security, terrorism informatics and crime analysis.
Virtual Components Design and Reuse
Design reuse is not just a topic of research but a real industrial necessity in the microelectronic domain and thus driving the competitiveness of relevant areas like for example telecommunication or automotive. Most companies have already dedicated a department or a central unit that transfer design reuse into reality. All main EDA conferences include a track to the topic, and even specific conferences have been established in this area, both in the USA and in Europe. Virtual Components Design and Reuse presents a selection of articles giving a mature and consolidated perspective to design reuse from different points of view. The authors stem from all relevant areas: research and academia, IP providers, EDA vendors and industry. Some classical topics in design reuse, like specification and generation of components, IP retrieval and cataloguing or interface customisation, are revisited and discussed in depth. Moreover, new hot topics are presented, among them IP quality, platform-based reuse, software IP, IP security, business models for design reuse, and major initiatives like the MEDEA EDA Roadmap.
Advances in Conceptual Modeling – Applications and Challenges
This book constitutes the refereed proceedings of workshops, held at the 29th International Conference on Conceptual Modeling, ER 2010, in Vancouver, Canada, in November 2010. The 31 revised full papers presented were carefully reviewed and selected from 82 submissions. The papers are organized in sections on the workshops Semantic and Conceptual Issues in GIS (SeCoGIS); Conceptual Modeling of Life Sciences Applications (CMLSA); Conceptual Modelling of Services (CMS); Active Conceptual Modeling of Learning (ACM-L); Web Information Systems Modeling (WISM); Domain Engineering (DE@ER); and Foundations and Practices of UML (FP-UML).
Machine Learning and Knowledge Discovery in Databases
The three volume proceedings LNAI 11906 – 11908 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2019, held in Würzburg, Germany, in September 2019. The total of 130 regular papers presented in these volumes was carefully reviewed and selected from 733 submissions; there are 10 papers in the demo track. The contributions were organized in topical sections named as follows: Part I: pattern mining; clustering, anomaly and outlier detection, and autoencoders; dimensionality reduction and feature selection; social networks and graphs; decision trees, interpretability, and causality; strings and streams; privacy...
Trends and Applications in Knowledge Discovery and Data Mining
This book constitutes the thoroughly refereed post-workshop proceedings of the workshops that were held in conjunction with the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2019, in Macau, China, in April 2019. The 31 revised papers presented were carefully reviewed and selected from a total of 52 submissions. They stem from the following workshops: · PAISI 2019: 14th Pacific Asia Workshop on Intelligence and Security Informatics · WeL 2019: PAKDD 2019 Workshop on Weakly Supervised Learning: Progress and Future · LDRC 2019: PAKDD 2019 Workshop on Learning Data Representation for Clustering · BDM 2019: 8th Workshop on Biologically-inspired Techniques for Knowledge Discovery and Data Mining · DLKT 2019: 1st Pacific Asia Workshop on Deep Learning for Knowledge Transfer
Data Exfiltration Threats and Prevention Techniques
DATA EXFILTRATION THREATS AND PREVENTION TECHNIQUES Comprehensive resource covering threat prevention techniques for data exfiltration and applying machine learning applications to aid in identification and prevention Data Exfiltration Threats and Prevention Techniques provides readers the knowledge needed to prevent and protect from malware attacks by introducing existing and recently developed methods in malware protection using AI, memory forensic, and pattern matching, presenting various data exfiltration attack vectors and advanced memory-based data leakage detection, and discussing ways in which machine learning methods have a positive impact on malware detection. Providing detailed de...
