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Big Data Analytics: IOT BASED RECOMMENDATION SYSTEM FOR TOURISM
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CC BY
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The IOT services are for customer convenience, control in online booking IOT services such as radio station, smart coffee makers, dim lights and energy programmed lights. Our System will able to recommend the valid customer opinion by analyzing UAE, UK and Oman hotel aspects like services, value, cleanliness and location from customers’ reviews. it include the Big Analytics, Hadoop, HDFS, Sentiment Analytics, Emotion Analytics, ANOVA in Map-Reduce.

Subject:
Computer Science
Material Type:
Module
Author:
Sharjeel Imtiaz
Date Added:
04/11/2019
Big Data Analytics: IOT Recomendation system for Tourism
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CC BY-NC-SA
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This project will recommend a big data analytics tool for the customers, ministry and hotels in Oman to adapt new hotel services after considering together hotel services with customer opinions. The IOT services are for customer convenience, control in online booking IOT services such as radio station, smart coffee makers, dim lights and energy programmed lights.The big data analytics will analyze the hotel information , rating and reviews of UK , Dubai to recomend aspect like services especially IOT services. The coverage of Analysis in R: Big data Analytics with Hadoop/HDFS Sentiment AnalysisEmotion Analysis Machine Learning K-mean , Regression and Neural NetworkAnova version to analyze Big data of 90k reviews 

Subject:
Information Science
Material Type:
Module
Author:
sharjeel imtiaz
Date Added:
04/11/2019
Pattern Recognition and Analysis
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CC BY-NC-SA
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This class deals with the fundamentals of characterizing and recognizing patterns and features of interest in numerical data. We discuss the basic tools and theory for signal understanding problems with applications to user modeling, affect recognition, speech recognition and understanding, computer vision, physiological analysis, and more. We also cover decision theory, statistical classification, maximum likelihood and Bayesian estimation, nonparametric methods, unsupervised learning and clustering. Additional topics on machine and human learning from active research are also talked about in the class.

Subject:
Applied Science
Career and Technical Education
Electronic Technology
Engineering
Life Science
Mathematics
Physical Science
Statistics and Probability
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Faculty and Staff, Media Lab
Morgan, Bo
Picard, Rosalind
Thomaz, Andrea
Date Added:
09/01/2006