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1. |
Record Nr. |
UNINA9910816809303321 |
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Autore |
Henriksen Dag |
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Titolo |
NATO's gamble : combining diplomacy and airpower in the Kosovo crisis, 1998-1999 / / Dag Henriksen |
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Pubbl/distr/stampa |
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Annapolis, Maryland : , : Naval Institute Press, , 2007 |
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ISBN |
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Edizione |
[First Naval Institute Press paperback edition.] |
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Descrizione fisica |
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1 online resource (305 p.) |
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Disciplina |
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Soggetti |
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Operation Allied Force, 1999 |
Kosovo War, 1998-1999 - Aerial operations |
Kosovo War, 1998-1999 - Participation, American |
Intervention (International law) |
United States Armed Forces Kosovo (Republic) |
United States History, Military 20th century |
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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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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references (pages [201]-253) and index. |
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Nota di contenuto |
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Operation Allied Force: how NATO stumbled into war -- The first week of OAF -- Prelude to war: setting the stage for Operation Allied Force --The airpower debate and OAF -- From Vietnam to Kosovo: U.S. foreign policy and the use of force -- Lessons from Bosnia -- The international handling of the Kosovo crisis -- The crisis emerges: NATO becomes responsible for crisis management -- Shift in U.S. policy toward the KLA--and the summer offensive -- NATO threatens air strikes: silence before the storm -- Račak--and the Rambouillet Conference -- NATO crisis management in perspective -- Diplomacy and airpower. |
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Sommario/riassunto |
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In this revealing work, Dag Henriksen discloses the origins and content of NATO's strategic and conceptual thinking on how the use of force was to succeed politically in altering the behavior of the Federal Republic of Yugoslavia (FRY). The air campaign, known as Operation Allied Force, was the first war against any sovereign nation in the history of NATO and the first major combat operation conducted for humanitarian purposes against a state committing atrocities within its own borders. This book examines the key political, diplomatic, and |
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military processes that shaped NATO and U.S. man |
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2. |
Record Nr. |
UNINA9910357849603321 |
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Titolo |
Computational Data and Social Networks : 8th International Conference, CSoNet 2019, Ho Chi Minh City, Vietnam, November 18–20, 2019, Proceedings / / edited by Andrea Tagarelli, Hanghang Tong |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
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ISBN |
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Edizione |
[1st ed. 2019.] |
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Descrizione fisica |
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1 online resource (XIV, 372 p. 147 illus., 68 illus. in color.) |
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Collana |
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Theoretical Computer Science and General Issues, , 2512-2029 ; ; 11917 |
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Disciplina |
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Soggetti |
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Application software |
Social sciences - Data processing |
Artificial intelligence |
Data protection |
Computers and civilization |
Computer and Information Systems Applications |
Computer Application in Social and Behavioral Sciences |
Artificial Intelligence |
Data and Information Security |
Computers and Society |
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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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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Combinatorial Optimization and Learning -- A Probabilistic Divide and Conquer Algorithm for the Minimum Tollbooth Problem -- Distributed Core Decomposition in Probabilistic Graphs -- Sampled Fictitious Play on Networks -- Outlier Detection Forest for Large-scale Categorical Data Sets -- Neural Networks with Multidimensional Cross-Entropy Loss Functions -- A RVND+ILS metaheuristic to Solve the Delivery Man Problem with Time Windows -- Star2vec: from subspace embedding to whole-space embedding for intelligent recommendation system |
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(Extended Abstract) -- Approximation algorithm for the squared metric soft capacitated facility location problem (Extended Abstract) -- An Efficient Algorithm for the k-Dominating Set Problem on Very Large-Scale Networks (Extended Abstract) -- Strategy-proof cost-sharing mechanism design for a generalized cover-sets problem (Extended Abstract) -- Influence Modeling, Propagation, and Maximization -- Hybrid Centrality Measures for Service Coverage Problem.-Hop-based Sketch for Large-scale Influence Analysis -- Profit Maximization under Group Influence Model in Social Networks -- Importance Sample-based Approximation Algorithm for Cost-aware Targeted Viral Marketing -- Location-Based Competitive Influence Maximization in Social Networks -- Cascade of Edge Activation in Networks -- Reinforcement Learning in Information Cascades Based on Dynamic User Behavior -- Predicting New Adopters via Socially-Aware Neural Graph Collaborative Filtering -- Who Watches What: forecasting viewership for the top 100 TV networks -- NLP and Affective Computing -- PhonSenticNet: A Cognitive Approach to Microtext Normalization for Concept-Level Sentiment Analysis -- One-document Training For Vietnamese Sentiment Analysis -- Assessing the readability of Vietnamese texts through comparison -- Learning Representations for Vietnamese Sentence Classification (Extended Abstract) -- Exploring Machine Translation on the Chinese-Vietnamese Language Pair -- Computational Methods for Social Good -- Towards an Aspect-based Ranking Model for Clinical Trial Search -- Scalable Self-Taught Deep-embedded Learning Framework for Drug Abuse Spatial Behaviors Detection -- Limiting the Neighborhood: De-Small-World Network for Outbreak Prevention -- Online Community Conflict Decomposition with Pseudo Spatial Permutation -- Attribute-Enhanced De-anonymization of Online Social Networks -- Subgraph-based Adversarial Examples Against Graph-based IoT Malware Detection Systems -- Incorporating Content beyond Text: A High Reliable Twitter-based Disaster Information System -- Reduced-Bias Co-Trained Ensembles for Weakly Supervised Cyberbullying Detection -- A Novel Privacy-Preserving Socio-Technical Platform for Detecting Cyber Abuse (Extended Abstract) -- Projection-based Coverage Algorithms in 3D Camera Sensor Networks for Indoor Objective Tracking -- User Profiling and Behavior Modeling -- Enhancing Collaborative Filtering with Multi-label Classification -- Link Prediction on Dynamic Heterogeneous Information Networks -- Information Network Cascading and Network Re-construction with Bounded Rational User Behaviors -- Gender Prediction through Synthetic Resampling of User Profiles using SeqGANs. . |
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Sommario/riassunto |
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This book constitutes the refereed proceedings of the 8th International Conference on Computational Data and Social Networks, CSoNet 2019, held in Ho Chi Minh City, Vietnam, in November 2019. The 22 full and 8 short papers presented in this book were carefully reviewed and selected from 120 submissions. The papers appear under the following topical headings: Combinatorial Optimization and Learning; Influence Modeling, Propagation, and Maximization; NLP and Affective Computing; Computational Methods for Social Good; and User Profiling and Behavior Modeling. |
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