---
owner:
    hid: 209
    name: Han, Wenxuan
    url: https://github.com/bigdata-i523/hid209
paper1:
    abstract: >
        To understand data analytic steps in web search, and analyze some of
        popular approaches/algorithms (e.g. Hubs, PageRank, etc) within big data
        and their application in web search aspect.
    author:
        - Han, Wenxuan
    chapter: Media
    hid:
        - 209
    status: Oct 29 2017 100%
    title: Big Data Application in Web Search and Text Mining
    url: https://github.com/bigdata-i523/hid209/paper1/paper1.pdf
paper2:
    review: Nov 6 2017
    abstract: >
        This paper will focus on clustering algorithms which developed as a
        powerful tool for big data analysis. It will introduce the main clustering
        types and analyze some highly used algorithms.
    author:
        - Han, Wenxuan
    chapter: Machine Learning
    hid:
        - 209
    status: 100%
    title: Clustering Algorithms in Big Data Analysis
    url: https://github.com/bigdata-i523/hid209/paper2/paper2.pdf
project:
    review: Dec 4 2017
    author:
        - Han, Wenxuan
        - Liu, Yuchen
        - Lu, Junjie
    hid:
        - 209
        - 213
        - 214
    title: Analysis of Digit Recognizer classification algorithms in big data
    abstract: >
        Nowadays, Digit Recognizer is becoming more and more important in many 
        different areas, such as zip code recognizer, banking receipt and balance 
        sheet. Many technology companies are trying to use Big Data to develop 
        more efficient and accurate algorithm for Digit Recognizer. This project 
        uses Digit Recognizer dataset from Kaggle.com. There are more than 42000 samples 
        in the Dataset. Different algorithms such as kth nearest neighbor (KNN), 
        logistic regression and DNN (deep neural network) will be implemented on 
        Digit Recognizer. The performance will be compared with the different size of 
        data and different algorithm.
    url: https://github.com/bigdata-i523/hid209/project/
    type: project
    status: Dec 04 17 100%
    chapter: Machine Learning