Data Mining, Protection, Detection and other Security Technologies

Book Description

This book contains papers presented at the ninth International Conference on Data Mining, Protection, Detection and other Security Technologies held at the University of Cädiz in Spain, 2008. The applications of Data Mining are important in business, particularly large companies and government agencies, and this market is still going through a period of consolidation. This is reflected in the important transactions that have recently taken place, such as the purchase of Datops by Lexis Nexis and of ClearForest by Reuters, followed by the buying of Inxight by Business Object, later itself acquired by SAP. These vibrant market movements are to be expected in a comparatively young discipline not yet consolidated, and point to the importance of pursuing research and new applications such as some of those described in this book.

The papers in these proceedings are arranged into the following topic areas: Data Mining; Text Mining; Business and Socioeconomic Applications; Security Issues; Risk Analysis.

Book Contents

An approach to finding reduced sets of information features describing discrete objects based on rough sets theory
D. Sitnikov; O. Titova; O. Romanenko; O. Ryabov;

Neural network modeling of the nonlinear dynamic structural offshore system with hysteresis
D. M. Rocha; N. F. F. Ebecken; L. P. Calôba; D. L. Kaiser;

Fast outlier detection using rough sets theory
F. Shaari; A. A. Bakar; A. R. Hamdan;

A fully sensitive correlation measure for data mining
R. J. G. B. Campello; E. R. Hruschka;

Generalized -means algorithm on nominal dataset
S. H. Al-Harbi; A. M. Al-Shahri;

Flexible database transformation for XML-RDBMS
A. Zailani; M. Mustafa;

A rules reduction algorithm based on significance measure
R. Abadía; M. Almiñana; L. F. Escudero; A. Pérez-Martín; A. Rabasa; L. Santamaría;

Can the methodology improve other kernel techniques?
M. Gago; E. Juaristi;

Mining spatial and temporal data to classify water quality: a case study
A. J. Seixas; S. L. P. L. Beatriz; F. F. E. Nelson;

Cluster analysis in document networks
C. K. dos Santos; A. G. Evsukoff; B. S. L. P. de Lima;

Two novel term weighting for text categorization
L. A. Matsunaga; N. F. F. Ebecken;

Finding the real subject: the application of categorisation methods to forum messages
G. L. Rocca;

Kohonen self-organising maps in the data mining of wine taster comments
P. Sallis; S. Shanmuganathan; L. Pavesi; M. C. J. Muñoz;

Searching for innovation through a convergent technology e-science network approach
N. F. F. Ebecken; F. A. Moreira Jr;

Constructing social and economic indicators for EU countries using dynamic classification: case studies
I. Gertsbakh; I. Yatskiv; O. Platonova;

Model of location for service station
J. de Rezende; N. F. F. Ebecken;

Knowledge discovery for CRM improvement
G. M. Caputo; V. M. Bastos; A. M. Cister; N. F. F. Ebecken;

Financial performance of air transport companies: an analysis of the non-Pareto-efficient space in data envelopment analysis
E. Fernandes; H. M. Pires; M. P. E. Lins; A. C. M. Silva;

Benford’s Law, data mining, and financial fraud: a case study in New York State Medicaid data
B. Little; R. Rejesus; M. Schucking; R. Harris;

A semi-deterministic ensemble strategy for imbalanced datasets (SDEID) applied to bankruptcy prediction
R. A. Mathiasi Horta; B. S. L. Pires de Lima; C. C. H. Borges;

Fuzzy Multicriteria analysis for evaluation of risks in complex engineering projects in the Aeronautical industry
H. Fukayama; E. Fernandes; N. F. F. Ebecken;

An intelligent decision support system for bridge safety assessment based on Data Mining models
M. F. Santos; H. Quintela; P. Cortez; J. O. Almeida;

Online Police Station, a cutting edge service against cybercrime
C. Aliprandi; L. Lotti; F. Neri; G. Sanna;

A data system for the security and tracking of goods containers
P. J. Munday;

Link mining for contextual prioritization of tactical information
R. E. Marmelstein; M. G. Devito; C. Mungo; G. Papanagopoulos; K. Patel; M. H. Linderman;

Duo-mining with multi-agents: the next wave to control organised crime
C. Chibelushi; I. Bentley;

Selective alerts for runtime protection of distributed systems
M. Colajanni; D. Gozzi; M. Marchetti;

(This link will take you to an external website)