Advances in Hybrid Information Technology: First by Marcin S. Szczuka, Daniel Howard, Dominik Slezak, Haeng-kon

By Marcin S. Szczuka, Daniel Howard, Dominik Slezak, Haeng-kon Kim, Tai-hoon Kim, Il-seok Ko, Geuk Lee, Peter M.A. Sloot

This e-book constitutes the completely refereed post-proceedings of the 1st overseas convention on Hybrid details expertise, ICHIT 2006, held in Jeju Island, Korea, in November 2006.

The sixty four revised papers have been conscientiously chosen in the course of a moment around of reviewing and development from 235 studies given on the convention and are awarded in prolonged model within the e-book. The papers are prepared in topical sections on info research, modeling, and studying; imaging, speech, and complicated facts; functions of synthetic intelligence; hybrid, shrewdpermanent, and ubiquitous structures; and software program engineering; in addition to networking and telecommunications.

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Additional info for Advances in Hybrid Information Technology: First International Conference, ICHIT 2006, Jeju Island, Korea, November 9-11, 2006, Revised Selected

Example text

For illustration and understanding of the concept we will only be considering here the properties of terrorist networks at elemental level through out the paper. The process of IDM for terrorist network analysis includes mainly four phases: Link Analysis, Social Network Analysis, Network visualization and network destabilization as shown in figure 1. Explanation for each phase is given in the following sections. Fig. 1. 1 Link Analysis Link analysis is a technique of the data mining field concerned with extracting useful information from a large dataset of associations between entities.

Criminal network analysis and visualization: A data mining perspective. Communications of the ACM 48(6), 101–107 (2005) 3. : Psychology of intelligence analysis. Center for the study of Intelligence, Central Intelligence Agency (2005) 4. : Counterterrorism after al qaeda. The Washington Quarterly 27(3), 101–113 (2004) 5. : Social Network Analysis: Methods and Applications. Cambridge University Press, Cambridge (1994) 6. : Investigative Data Mining for security and criminal Detection. Butterworth Heinemann, Elsevier Science (2003) 7.

P|C| ] where Pix = (Pi1 − {(v, v)|(v, v) ∈ x 1 Pi1 }) ∪ (Pi − {(1, 1)}), and S P = (S P )P . This in turn gives that x 1 1 rank(S P ) = rank((S P )P ) < rank((S P )P ) = rank(S P ), (8) which means that P is not an optimal partition reduct and contradicts with the assumption. Hence an optimal solution P of the OSVP-problem of S contains the optimal 1 solution P of the same problem of S P , and the proof is completed. Complexity Analysis. , K = 3 P i−1 for the Australian dataset [8]) and SB has much less attributes and objects Pi (duplicated objects are removed) than that of SB , both the time and space complexities of the algorithm are determined by the reduct computation of SB .

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