27-29 November, Vilnius
Conference about Big Data, High Load, Data Science, Machine Learning & AI
Early Bird Ends In:
Lulea University of Technology, Sweden
Ahmed Elragal (PhD, MBA, BSc) is a professor of information systems at Luleå University of Technology in Sweden. He has a PhD in Intelligence Decision Support Systems from the University of Plymouth in the UK. He has over fifty research papers and articles published at international conferences and journals. He is the winner of the 2010’s international case study competition on “Business Intelligence”, a prestigious international award. He has over 15 years of consulting experience, focused mainly on enterprise systems and business intelligence. He has helped different regional as well as multinationals organizations [including SAP, Teradata, & Egypt Census Bureau] in the areas of enterprise systems, business intelligence, data mining, big data, analytics, etc.
Evidence-Driven Decision Making
The session will introduce the decision making process and explains how it is influenced by big data and the data science domains.
Rapid Miner: Playing with Text
Nowadays, text is everywhere such as: enterprise records, consumer complaints, product inquiries; social media; & product reviews. Text is just another form of data, and text processing is just a special case of data representation. Since we, humans, communicate via text, so understanding text is essential for us. However, text is referred to as “unstructured” data. Indeed, text has plenty of structure, but it is linguistic structure— intended for human consumption, not for machines. Therefore, it is difficult to evaluate any particular word or phrase without considering the context, on which it was written. In this session, we learn various things about text analytics.