From Social Data Mining and Analysis to Prediction and Community Detection /

Detalles Bibliográficos
Autor Corporativo:	SpringerLink (Online service)
Otros Autores:	Kaya, Mehmet. (Editor ), Erdoǧan, Özcan. (Editor ), Rokne, Jon. (Editor )
Formato:	eBook
Lenguaje:	English
Publicado:	Cham : Springer International Publishing : Imprint: Springer, 2017.
Edición:	1st ed. 2017.
Colección:	Lecture Notes in Social Networks,
Materias:	Data mining. Artificial intelligence. Physics. Data Mining and Knowledge Discovery. Artificial Intelligence. Applications of Graph Theory and Complex Networks.

Tabla de Contenidos:

Chapter1. An Offline-Online Visual Framework for Clustering Memes in Social Media
Chapter2. A System for Email Recipient Prediction
Chapter3. A Credibility Assessment Model for Online Social Network Content
Chapter4. Web Search Engine based Representation for Arabic Tweets Categorization
Chapter5. Sentiment Trends and Classifying Stocks using P-Trees
Chapter6. Mining Community Structure with Node Embeddings
Chapter7. A LexDFS-based Approach on finding compact communities
Chapter8. Computational Data Sciences and Regulation of Banking and Financial Services
Chapter9. Frequent and Non-Frequent Sequential Itemsets Detection.

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