---
owner:
    hid: 233
    name: Wang, Jiaan
    firstname: Jiaan
    lastname: Wang
    longitude: -86.494256
    latitude: 39.173413
    city: Bloomington, IN, U.S.A.
    url: https://github.com/bigdata-i523/hid233
paper1:
    abstract: >
        The growth of big data and its various applications in the media
        and entertainment industry has been swift in recent years as
        well as the rapid surge of big data and the increasing need
        for big data technologies. We describe the problems that come
        with big data and its challenges in the industry. We then
        present various utilization of big data and why big data is
        important to the advancement of the media and entertainment
        industry.
    author:
        - Wang, Jiaan
    chapter: Media
    hid:
        - 233
    status: Nov 03 17 100%
    title: Big Data Applications in the Media and Entertainment Industry
    url: https://github.com/bigdata-i523/hid233/blob/master/paper1/report.tex
paper2:
    abstract: >
        In the age of big data, artificial intelligence and speech
        recognition techniques have been widely used in numerous
        big data technologies and applications. Among those are
        virtual assistants which could potentially lead to the future
        evolution of big data. We list various virtual assistants
        currently in the industry developed by giants such as Google,
        Microsoft, Amazon and Apple. We then follow up by discussing
        some future development of virtual assistants.
    author:
        - Wang, Jiaan
    chapter: Technology
    hid:
        - 233
    status: Nov 10 17 100%
    title: Big Data Applications in Virtual Assistants
    url: https://github.com/bigdata-i523/hid233/blob/master/paper2/report.tex
project:
    abstract: >
        For years, people have been trying to reduce their automobile
        insurance bills. Insurance companies claim that price will be
        reduced for good drivers and raised for bad ones. However,
        inaccuracies in their data predictions lead to the exact
        opposite. The dataset being used is released by Porto Seguro,
        an auto and homeowner insurance company from Brazil. It
        consists of information from several hundred thousands of
        policyholders.  The goal is to predict the probability an auto
        insurance policyholder files a claim the next year using
        classification algorithms. A good prediction with decent
        accuracy can correctly adjust prices for policyholders.
    author:
        - Wang, Jiaan
        - Chaturvedi, Dhawal
    chapter: Business
    hid:
        - 233
        - 204
    status: Dec 11 17 100%
    title: Big Data in Safe Driver Prediction
    type: project
    url: https://github.com/bigdata-i523/hid233/blob/master/project/