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Retraction Note to: How Investigative Data Mining Can Help Intelligence Agencies to Discover Dependence of Nodes in Terrorist Networks

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Book cover Advanced Data Mining and Applications (ADMA 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4632))

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Abstract

The publisher regrets to announce that the following chapter entitled “How Investigative Data Mining Can Help Intelligence Agencies to Discover Dependence of Nodes in Terrorist Networks” by Nasrullah Memon, David L. Hicks, and Henrik Legind Larsen, pp. 430-441, published in LNAI 4632 has been retracted. This chapter contains a large amount of reused and uncited material that was not published within quotation marks.

Table 1 of the paper starting on page 430 of this volume was copied, without permission, from the paper “Countering Terrorism through Information and Privacy Protection Technologies” by R. Popp and J. Poindexter, published in Security & Privacy, IEEE (Volume 4, Issue 6), 2006.

The original online version for this chapter can be found at http://dx.doi.org/10.1007/978-3-540-73871-8_40

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© 2007 Springer Berlin Heidelberg

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Memon, N., Hicks, D.L., Larsen, H.L. (2007). Retraction Note to: How Investigative Data Mining Can Help Intelligence Agencies to Discover Dependence of Nodes in Terrorist Networks. In: Alhajj, R., Gao, H., Li, J., Li, X., Zaïane, O.R. (eds) Advanced Data Mining and Applications. ADMA 2007. Lecture Notes in Computer Science(), vol 4632. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73871-8_61

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  • DOI: https://doi.org/10.1007/978-3-540-73871-8_61

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73870-1

  • Online ISBN: 978-3-540-73871-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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