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Machine Learning Techniques for Online Social Networks

Aus der Reihe Lecture Notes in Social Networks

87,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

31.05.2018

Abbildungen

VIII, 236 p. 102 illus., 85 illus. in color.

Herausgeber

Tansel Özyer + weitere

Verlag

Springer

Seitenzahl

236

Maße (L/B/H)

24,1/16/1,9 cm

Gewicht

535 g

Sprache

Englisch

ISBN

978-3-319-89931-2

Beschreibung

Portrait

Tansel Özyer is an associate professor of Computer Engineering at TOBB University of Economics and Technology, Turkey. He completed his PhD in Computer Science, University of Calgary. He received his MSc and BSc from Computer Engineering departments of METU and Bilkent University. Research interests are data mining, social network analysis, machine learning, bioinformatics, XML, mobile databases, and computer vision.

Reda Alhajj is a professor in the Department of Computer Science at the University of Calgary. He published over 500 papers in refereed international journals and conferences. He is founding editor in chief of the Springer premier journal “Social Networks Analysis and Mining”, founding editor-in-chief of Springer Series “Lecture Notes on Social Networks”, founding editor-in-chief of Springer journal “Network Modeling Analysis in Health Informatics and Bioinformatics”, founding co-editor-in-chief of Springer “Encyclopedia on Social NetworksAnalysis and Mining”, founding steering chair of IEEE/ACM ASONAM, and three accompanying symposiums FAB, FOSINT-SI and HI-BI-BI. Dr. Alhajj's research concentrates primarily on data science from management to integration and analysis.

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

31.05.2018

Abbildungen

VIII, 236 p. 102 illus., 85 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

236

Maße (L/B/H)

24,1/16/1,9 cm

Gewicht

535 g

Sprache

Englisch

ISBN

978-3-319-89931-2

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Machine Learning Techniques for Online Social Networks
  • Produktbild: Machine Learning Techniques for Online Social Networks
  • Chapter1. Acceleration of Functional Cluster Extraction and Analysis of Cluster Affinity.- Chapter2. Delta-Hyperbolicity and the Core-Periphery Structure in Graphs.- Chapter3. A Framework for OSN Performance Evaluation Studies.- Chapter4. On The Problem of Multi-Staged Impression Allocation in Online Social Networks.- Chapter5. Order-of-Magnitude Popularity Estimation of Pirated Content.- Chapter6. Learning What to Share in Online Social Networks using Deep Reinforcement Learning.- Chapter7. Centrality and Community Scoring Functions in Incomplete Networks: Their Sensitivity, Robustness and Reliability.- Chapter8. Ameliorating Search Results Recommendation System based on K-means Clustering Algorithm and Distance Measurements.- Chapter9. Dynamics of large scale networks following a merger.- Chapter10. Cloud Assisted Personal Online Social Network.- Chapter11. Text-Based Analysis of Emotion by Considering Tweets.