A Term Distribution Visualization Approach to Digital Forensic String Search
VizSec '08 Proceedings of the 5th international workshop on Visualization for Computer Security
Term distribution visualizations with Focus+Context
Proceedings of the 2009 ACM symposium on Applied Computing
Possibilistic pattern recognition in a digestive database for mining imperfect data
WSEAS TRANSACTIONS on SYSTEMS
Term distribution visualizations with Focus+Context
Multimedia Tools and Applications
Visualizing metadata for environmental datasets
DCMI '10 Proceedings of the 2010 International Conference on Dublin Core and Metadata Applications
Video games for collection exploration: games for and out of data repositories
Proceedings of the 14th International Academic MindTrek Conference: Envisioning Future Media Environments
Exploring a web space for consumer health information: implications for design
Proceedings of the 2011 iConference
Information extraction from webpages based on DOM distances
CICLing'12 Proceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part II
Multimedia information retrieval in a social context
PROMISE'12 Proceedings of the 2012 international conference on Information Retrieval Meets Information Visualization
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The amount of digitized information available on the Internet, in digital libraries, and other forms of information systems grows at an exponential rate, while becoming more complex and more dynamic. As a consequence, information organization, information retrieval and the presentation of retrieval results have become more and more difficult. Information visualization offers a unique method to reveal hidden patterns and contextual information in a visual presentation and allows users to seek information in an intuitive way. Jin Zhang provides a systematic explanation of the latest advancements in information retrieval visualization from both theoretical and practical perspectives. He reviews the main approaches and techniques available in the field, explains theoretical relationships between information retrieval and information visualization, and presents major information retrieval visualization algorithms and models. He then takes a detailed look at the theory and applications of information retrieval visualization for Internet traffic analysis, and Internet information searching and browsing. The author also addresses challenges such as ambiguity, metaphorical applications, and system evaluation in information retrieval visualization environments. Finally, he compares these information retrieval visualization models from the perspectives of visual spaces, semantic frameworks, projection algorithms, ambiguity, and information retrieval, and discusses important issues of information retrieval visualization and research directions for future exploration. Readers of this book will gain an in-depth understanding of the current state of information retrieval visualization. They will be introduced to existing problems for researchers and professionals, along with technical and theoretical findings and advances made by leading researchers. The book also provides practical details for the implementation of an information retrieval visualization system.