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Record Nr. |
UNINA9910265137203321 |
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Autore |
Hasche Thorsten <p>Thorsten Hasche, Georg-August-Universität Göttingen, Deutschland </p> |
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Titolo |
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Quo vadis, politischer Islam? : AKP, al-Qaida und Muslimbruderschaft in systemtheoretischer Perspektive / Thorsten Hasche |
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Pubbl/distr/stampa |
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Bielefeld, : transcript Verlag, 2015 |
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ISBN |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (391 p.) |
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Collana |
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Disciplina |
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Soggetti |
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AKP |
JPD |
Al-Qaida |
Al-Qaeda |
Muslimbruderschaft |
Muslim Brotherhood |
Politischer Islam |
Political Islam |
Niklas Luhmann |
Islam |
Politik |
Politics |
Politische Ideologien |
Political Ideologies |
Islamwissenschaft |
Islamic Studies |
Terrorismus |
Terrorism |
Politische Parteien |
Political Parties |
Political Science |
Politikwissenschaft |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Both the »Arab Spring« and the strengthening of the Jihadist brigade »Islamic State« have brought diverse Islamist movements under the spotlight of the media and journalism. Based on Niklas Luhmann's social theory of politics, Thorsten Hasche investigates three central movements of Sunnite Islamism in the AKP, al-Qaida and the Muslim Brotherhood. Historically and comparatively, he considers their thought leaders, their political ideologies and their structures. It becomes clear that Sunnite political Islam will remain a powerful presence in global political systems, at least in the medium term. |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Frontmatter 1 Inhalt 5 Tabellen 9 Vorwort 11 1. Die Erforschung des politischen Islam 15 2. Niklas Luhmanns methodologische Ansprüche an die Gesellschaftstheorie und die Methodologie der Sozialwissenschaften 59 3. Das weltpolitische System im Spannungsverhältnis von funktionaler Differenzierung und alternativen Differenzierungsformen 111 4. Einführung in Aufbau und Vorgehensweise der Fallstudien 193 5. Die Muslimbruderschaft und der Ursprung des politischen Islam 235 7. Die Genese und Entwicklung des militanten Dschihadismus durch die al-Qaida 281 8. Die Systemtheorie der Politik und ihr Blick auf den sunnitischen politischen Islam 315 Literaturverzeichnis 341 Verweise auf Internetseiten 387 Backmatter 388 |
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Sommario/riassunto |
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Sowohl der »Arabische Frühling« als auch das Erstarken der dschihadistischen Kampfgruppe »Islamischer Staat« haben die diversen islamistischen Bewegungen in den Fokus der medialen und publizistischen Aufmerksamkeit rücken lassen. Auf der Basis der Gesellschaftstheorie der Politik Niklas Luhmanns untersucht Thorsten Hasche mit der AKP, der al-Qaida und der Muslimbruderschaft drei zentrale Bewegungen des sunnitischen Islamismus. Historisch und vergleichend nimmt er dabei ihre Vordenker, ihre politischen Ideologien und ihre Strukturen in den Blick. Es wird deutlich: Der sunnitische politische Islam wird auch mittelfristig ein wirkmächtiger Bestandteil des weltpolitischen Systems bleiben. |
Besprochen in:Portal für Politikwissenschaft, 06.08.2015, Ulrich HeisterkampVKRG inform, 4 (2015) |
»Eine aktuelle, komplexe und fachübergreifende Analyse des Islamismus.« |
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2. |
Record Nr. |
UNISA996691671203316 |
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Autore |
Pfahringer Bernhard |
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Titolo |
Machine Learning and Knowledge Discovery in Databases. Research Track and Applied Data Science Track : European Conference, ECML PKDD 2025, Porto, Portugal, September 15–19, 2025, Proceedings, Part VIII / / edited by Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Rita P. Ribeiro, Inês Dutra, Mykola Pechenizkiy, Paulo Cortez, Sepideh Pashami, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama |
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Pubbl/distr/stampa |
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2026 |
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ISBN |
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3-662-72243-7 |
9783662722435 |
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Edizione |
[1st ed. 2026.] |
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Descrizione fisica |
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1 online resource (955 pages) |
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Collana |
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Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 16020 |
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Altri autori (Persone) |
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JapkowiczNathalie |
LarrañagaPedro |
RibeiroRita P |
DutraInês |
PechenizkiyMykola |
CortezPaulo |
PashamiSepideh |
JorgeAlípio M |
SoaresCarlos |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Computer networks |
Computers |
Image processing - Digital techniques |
Computer vision |
Software engineering |
Artificial Intelligence |
Computer Communication Networks |
Computing Milieux |
Computer Imaging, Vision, Pattern Recognition and Graphics |
Software Engineering |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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This multi-volume set, LNAI 16013 to LNAI 16022, constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2025, held in Porto, Portugal, September 15–19, 2025. The 300 full papers presented here, together with 15 demo papers, were carefully reviewed and selected from 1253 submissions. The papers presented in these proceedings are from the following three conference tracks: The Research Track in Volume LNAI 16013-16020 refers about Anomaly & Outlier Detection, Bias & Fairness, Causality, Clustering, Data Challenges, Diffusion Models, Ensemble Learning, Graph Neural Networks, Graphs & Networks, Healthcare & Bioinformatics, Images & Computer Vision, Interpretability & Explainability, Large Language Models, Learning Theory, Multimodal Data, Neuro Symbolic Approaches, Optimization, Privacy & Security, Recommender Systems, Reinforcement Learning, Representation Learning, Resource Efficiency, Robustness & Uncertainty, Sequence Models, Streaming & Spatiotemporal Data, Text & Natural Language Processing, Time Series, and Transfer & Multitask Learning. The Applied Data Science Track in Volume LNAI 16020-16022 refers about Agriculture, Food and Earth Sciences, Education, Engineering and Technology, Finance, Economy, Management or Marketing, Health, Biology, Bioinformatics or Chemistry, Industry (4.0, 5.0, Manufacturing, ...), Smart Cities, Transportation and Utilities (e.g., Energy), Sports, and Web and Social Networks The Demo Track in LNAI 16022 showcased practical applications and prototypes, accepting 15 papers from a total of 30 submissions. These proceedings cover the papers accepted in the research and applied data science tracks. |
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