Understanding Australian illicit drug markets: Unsupervised learning with independent component analysis

Stuart Gilmour; Inge Koch

Understanding Australian illicit drug markets: Unsupervised learning with independent component analysis

Stuart Gilmour, Inge Koch

Research output: Chapter in Book/Conference paper › Conference paper › peer-review

Abstract

This paper proposes a decision rule for separating unlabeled data into two contrasting populations. The driving problem is to understand the Australian illicit drug market based on 17 key indicator data series. A classification based on the most non-Gaussian data direction is proposed. This direction is determined using independent component analysis. It is shown that the resulting grouping leads to interpretable and meaningful measures for describing the drug market.

Original language	English
Title of host publication	Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP '04
Editors	M. Palaniswami, B. Krishnamachari, A. Sowmya, S. Challa, M. Palaniswami, B. Krishnamachari, A. Sowmya, S. Challa
Pages	271-276
Number of pages	6
Publication status	Published - 1 Dec 2004
Externally published	Yes
Event	2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP '04 - Melbourne, Australia Duration: 14 Dec 2004 → 17 Dec 2004

Conference

Conference	2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP '04
Country/Territory	Australia
City	Melbourne
Period	14/12/04 → 17/12/04

Cite this

Gilmour, S., & Koch, I. (2004). Understanding Australian illicit drug markets: Unsupervised learning with independent component analysis. In M. Palaniswami, B. Krishnamachari, A. Sowmya, S. Challa, M. Palaniswami, B. Krishnamachari, A. Sowmya, & S. Challa (Eds.), Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP '04 (pp. 271-276)

Gilmour, Stuart ; Koch, Inge. / Understanding Australian illicit drug markets : Unsupervised learning with independent component analysis. Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP '04. editor / M. Palaniswami ; B. Krishnamachari ; A. Sowmya ; S. Challa ; M. Palaniswami ; B. Krishnamachari ; A. Sowmya ; S. Challa. 2004. pp. 271-276

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title = "Understanding Australian illicit drug markets: Unsupervised learning with independent component analysis",

abstract = "This paper proposes a decision rule for separating unlabeled data into two contrasting populations. The driving problem is to understand the Australian illicit drug market based on 17 key indicator data series. A classification based on the most non-Gaussian data direction is proposed. This direction is determined using independent component analysis. It is shown that the resulting grouping leads to interpretable and meaningful measures for describing the drug market.",

author = "Stuart Gilmour and Inge Koch",

year = "2004",

month = dec,

day = "1",

language = "English",

isbn = "0780388933",

pages = "271--276",

editor = "M. Palaniswami and B. Krishnamachari and A. Sowmya and S. Challa and M. Palaniswami and B. Krishnamachari and A. Sowmya and S. Challa",

booktitle = "Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP '04",

note = "2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP '04 ; Conference date: 14-12-2004 Through 17-12-2004",

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Gilmour, S & Koch, I 2004, Understanding Australian illicit drug markets: Unsupervised learning with independent component analysis. in M Palaniswami, B Krishnamachari, A Sowmya, S Challa, M Palaniswami, B Krishnamachari, A Sowmya & S Challa (eds), Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP '04. pp. 271-276, 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP '04, Melbourne, Victoria, Australia, 14/12/04.

Understanding Australian illicit drug markets: Unsupervised learning with independent component analysis. / Gilmour, Stuart; Koch, Inge.
Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP '04. ed. / M. Palaniswami; B. Krishnamachari; A. Sowmya; S. Challa; M. Palaniswami; B. Krishnamachari; A. Sowmya; S. Challa. 2004. p. 271-276.

Research output: Chapter in Book/Conference paper › Conference paper › peer-review

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T1 - Understanding Australian illicit drug markets

T2 - 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP '04

AU - Gilmour, Stuart

AU - Koch, Inge

PY - 2004/12/1

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N2 - This paper proposes a decision rule for separating unlabeled data into two contrasting populations. The driving problem is to understand the Australian illicit drug market based on 17 key indicator data series. A classification based on the most non-Gaussian data direction is proposed. This direction is determined using independent component analysis. It is shown that the resulting grouping leads to interpretable and meaningful measures for describing the drug market.

AB - This paper proposes a decision rule for separating unlabeled data into two contrasting populations. The driving problem is to understand the Australian illicit drug market based on 17 key indicator data series. A classification based on the most non-Gaussian data direction is proposed. This direction is determined using independent component analysis. It is shown that the resulting grouping leads to interpretable and meaningful measures for describing the drug market.

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M3 - Conference paper

AN - SCOPUS:28844474965

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EP - 276

BT - Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP '04

A2 - Palaniswami, M.

A2 - Krishnamachari, B.

A2 - Sowmya, A.

A2 - Challa, S.

A2 - Palaniswami, M.

A2 - Krishnamachari, B.

A2 - Sowmya, A.

A2 - Challa, S.

Y2 - 14 December 2004 through 17 December 2004

ER -

Gilmour S, Koch I. Understanding Australian illicit drug markets: Unsupervised learning with independent component analysis. In Palaniswami M, Krishnamachari B, Sowmya A, Challa S, Palaniswami M, Krishnamachari B, Sowmya A, Challa S, editors, Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP '04. 2004. p. 271-276

Understanding Australian illicit drug markets: Unsupervised learning with independent component analysis

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