Data Mining, Protection, Detection and other Security Technologies

Book 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.

Book Contents

Text and video mining solutions to national security intelligence problems
A. Zanasi; M. Artioli;

Text mining on a grid environment
V. G. Roncero; M. C. A. Costa; N. F. F. Ebecken;

Finding web communities for business application
G. M. Caputo; N. F. F. Ebecken;

Personalization of information delivery based on web mining and DNA classification
M. Santos; J. Amado;

Spectral clustering and community detection in document networks
C. K. dos Santos; A. G. Evsukoff; B. S. L. P. de Lima;

A strategy for data storage and the search for semi-structured data in the Web
C. A. S. A. do Nascimento; N. F. F. Ebecken; J. L. dos A. Rosa;

Searching relationships between enterprise websites using graph based web crawling
R. C. F. De Souza; G. M. Caputo; N. F. F. Ebecken;

Outlier detection in financial statements: a text mining method
S. S. Kamaruddin; A. R. Hamdan; A. Abu Bakar; F. Mat Nor;

Mining for ecological thresholds and associations in cytometric data: a coastal management perspective
G. C. Pereira; A. R. Figueiredo; N. F. F. Ebecken;

A decision support methodology to rank projects considering risks and multicriteria analysis
S. F. C. Pinho; N. F. F. Ebecken;

Application of data mining techniques for understanding capital structure of Brazilian companies
R. A. M. Horta; H. M. Pires; B. S. L. P. de Lima;

Real-time spatio-temporal data mining with the “streamonas” data stream management system
P. A. Michael; D. Stott Parker;

Module multisensor system for strategic objects protection
M. Życzkowski; M. Szustakowski; M. Kastek; W. Ciurapiński; T. Sosnowski;


D. Sitnikov; O. Titova; O. Romanenko; O. Ryabov;

Data mining software using fuzzy inference systems at the World Wide Web
R. C. F. Vidal; N. F. F. Ebecken; A. G. Evsukoff;

A comparison of traditional and rough set approaches to missing attribute values in data mining
J. W. Grzymala-Busse;

Data fusion used in multispectral system for critical protection
R. Dulski; M. Kastek; G. Bieszczad; P. Trzaskawka; W. Ciurapiński;

Anomalies in multidimensional contexts
N. Dunstan; I. Despi; C. Watson;

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