Data Mining: Part 10
Data Mining, Protection, Detection and Other Security Technologies
Published on 6. May 2009
Book
Hardback
208 pages
978-1-84564-184-9 (ISBN)
Description
Since the end of the Cold War, the threat of large-scale wars has been substituted by new threats: terrorism, organised crime, trafficking, smuggling, proliferation of weapons of mass destruction. To react to them, a security strategy is necessary, but in order to be effective it requires several instruments, including technological tools. Consequently, research and development in the field of security is proving to be an ever-expanding field all over the world. Data mining is seen more and more not only as a key technology in business, engineering and science but as one of the key features in security. To stress that all these technologies must be seen as a way to improve not only the security of citizens but also their freedom, special attention will be given to data protection research issues. The 10th International Conference on Data Mining is part of the successful series and the topics include: Text mining and text analytics; Data mining applications; Data mining methods.
More details
Series
Language
English
Place of publication
Southampton
United Kingdom
Target group
College/higher education
Illustrations
Illustrations
Dimensions
Height: 230 mm
Width: 155 mm
ISBN-13
978-1-84564-184-9 (9781845641849)
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Schweitzer Classification
Persons
Content
Section 1: Text mining and text analytics Text and video mining solutions to national security intelligence problems; Text mining on a grid environment; Finding web communities for business application; Personalization of information delivery based on web mining and DNA classification; Spectral clustering and community detection in document networks; A strategy for data storage and the search for semi-structured data in the Web; Searching relationships between enterprise websites using graph based web crawling; Outlier detection in financial statements: a text mining method Section 2: Data mining applications Mining for ecological thresholds and associations in cytometric data: a coastal management perspective; A decision support methodology to rank projects considering risks and multicriteria analysis; Application of data mining techniques for understanding capital structure of Brazilian companies; Real-time spatio-temporal data mining with the streamonasA" data stream management system; Module multisensor system for strategic objects protection Section 3: Data mining methods A method for finding minimal sets of features adequately describing discrete information objects; Data mining software using fuzzy inference systems at the World Wide Web; A comparison of traditional and rough set approaches to missing attribute values in data mining; Data fusion used in multispectral system for critical protection; Anomalies in multidimensional contexts