Machine Learning Techniques for Online Social Networks
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- 79٫99 US$
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- 79٫99 US$
وصف الناشر
The book covers tools in the study of online social networks such as machine learning techniques, clustering, and deep learning. A variety of theoretical aspects, application domains, and case studies for analyzing social network data are covered. The aim is to provide new perspectives on utilizing machine learning and related scientific methods and techniques for social network analysis. Machine Learning Techniques for Online Social Networks will appeal to researchers and students in these fields.
النوع
واقعي
تاريخ النشر
٢٠١٨
٣٠ مايو
اللغة
EN
الإنجليزية
عدد الصفحات
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الناشر
Springer International Publishing
البائع
Springer Nature B.V.
الحجم
٧٦٫٩
م.ب.
Intelligent Data Mining in Law Enforcement Analytics
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Pathways Between Social Science and Computational Social Science
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Knowledge Discovery in the Social Sciences
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Exponential Random Graph Models for Social Networks
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Agent-Based Approaches in Economic and Social Complex Systems VI
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Illuminating Dark Networks
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Mining Social Networks and Security Informatics
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Social Media Analysis for Event Detection
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Social Networks and Surveillance for Society
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Prediction and Inference from Social Networks and Social Media
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State of the Art Applications of Social Network Analysis
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Information Reuse and Integration in Academia and Industry
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