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Data Analytics in Web Information Systems

Data Analytics in Web Information Systems

The importance of data analytics in many different domains has given rise to the research on new approaches, methods and algorithms in utilizing data to gain insight into the domain. In this ebook, we have selected six interesting work from the iiWAS 2015 conference. The papers were selected based on its originality and significant contribution to the area of data analytics. The application coverage of the papers involves different domains such as recommender systems, robotics, medical, linked data and logistics.

‘Crowd Logistics’:The Contribution of Social Crowds in Logistics Activities,Data Analytics in Web Information Systems,Feature engineered relation extraction - medical documents setting,H-SPOOL: A SPARQL-based ETL Framework for OLAP over Linked Data with Dimension Hierarchy Extraction,Implicit Communication Robots based on Automatic Scenario Generation using Web Intelligence,Prophetic Blogger Identificatioin Based on Buzzword Prediction Ability,Twitter User Tagging Method based on Burst Time Series

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