Journal article | Zeitschriftenartikel

Temporal analysis of political instability through descriptive subgroup discovery

This paper analyzes the Political Instability Task Force (PITF) data set using a new methodology based on machine learning tools for subgroup discovery. While the PITF used static data, this study employs both static and dynamic descriptors covering the 5-year period before onset. The methodology provides several descriptive models of countries especially prone to political instability. For the most part, these models corroborate the PITF’s findings and support earlier theoretical works. The paper also shows the value of subgroup discovery as a tool for developing a unified concept of political instability as well as for similar research designs.

Urheber*in: Lambach, Daniel; Gamberger, Dragan

Free access - no reuse

ISSN: 1549-9219

Extent: Seite(n): 19-32

Language: Englisch

Notes: Status: Veröffentlichungsversion; begutachtet (peer reviewed)

Bibliographic citation: Conflict Management and Peace Science, 25(1)

Subject: Politikwissenschaft
Sozialwissenschaften, Soziologie
Forschungsarten der Sozialforschung
Friedens- und Konfliktforschung, Sicherheitspolitik
Theorie
Methodologie
Forschungsansatz
Konfliktregelung
Failed State
Ursache
politische Gewalt
politische Stabilität
Konflikttheorie
Grundlagenforschung
Methodenentwicklung

Event: Geistige Schöpfung

(who): Lambach, Daniel
Gamberger, Dragan

Event: Veröffentlichung

(where): Vereinigte Staaten von Amerika

(when): 2008

DOI: https://doi.org/10.1080/07388940701860359

URN: urn:nbn:de:0168-ssoar-368876

Rights: GESIS - Leibniz-Institut für Sozialwissenschaften. Bibliothek Köln

Last update: 21.06.2024, 4:27 PM CEST

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Zeitschriftenartikel

Associated

Lambach, Daniel
Gamberger, Dragan

Time of origin

2008

Other Objects (12)

Temporal analysis of political instability through descriptive subgroup discovery

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Temporal analysis of political instability through descriptive subgroup discovery

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Subgroup lattices of groups

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Temporal analysis of political instability through descriptive subgroup discovery

Subgroup discovery for structured target concepts

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Novel techniques for efficient and effective subgroup discovery

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Hochschulschrift

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Subgroup lattices of groups

Identification of predictive factors of diabetic ketoacidosis in type 1 diabetes using a subgroup discovery algorithm

Generalisations of the Wielandt subgroup

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Temporal analysis of political instability through descriptive subgroup discovery

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Other Objects (12)

Temporal analysis of political instability through descriptive subgroup discovery

Subgroup discovery for structured target concepts

Novel Techniques for Efficient and Effective Subgroup Discovery

Novel techniques for efficient and effective subgroup discovery

Leveraging the potential of multi-layer networks for subgroup discovery

Knowledge-intensive subgroup mining : techniques for automatic and interactive discovery

Subgroup growth

Data mining methods for medical diagnosis : test selection, subgroup discovery, and constrained clustering

Data Mining Methods for Medical Diagnosis : Test Selection, Subgroup Discovery, and Contrained Clustering

Subgroup lattices of groups

Identification of predictive factors of diabetic ketoacidosis in type 1 diabetes using a subgroup discovery algorithm

Generalisations of the Wielandt subgroup

Temporal analysis of political instability through descriptive subgroup discovery

Subgroup discovery for structured target concepts

Novel Techniques for Efficient and Effective Subgroup Discovery

Novel techniques for efficient and effective subgroup discovery

Leveraging the potential of multi-layer networks for subgroup discovery

Knowledge-intensive subgroup mining : techniques for automatic and interactive discovery

Subgroup growth

Data mining methods for medical diagnosis : test selection, subgroup discovery, and constrained clustering

Data Mining Methods for Medical Diagnosis : Test Selection, Subgroup Discovery, and Contrained Clustering

Subgroup lattices of groups

Identification of predictive factors of diabetic ketoacidosis in type 1 diabetes using a subgroup discovery algorithm

Generalisations of the Wielandt subgroup

Temporal analysis of political instability through descriptive subgroup discovery

Subgroup discovery for structured target concepts

Novel Techniques for Efficient and Effective Subgroup Discovery

Novel techniques for efficient and effective subgroup discovery

Leveraging the potential of multi-layer networks for subgroup discovery

Knowledge-intensive subgroup mining : techniques for automatic and interactive discovery

Subgroup growth

Data mining methods for medical diagnosis : test selection, subgroup discovery, and constrained clustering

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Subgroup lattices of groups

Identification of predictive factors of diabetic ketoacidosis in type 1 diabetes using a subgroup discovery algorithm

Generalisations of the Wielandt subgroup

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