A Business Plan Draft in Tourism Industry-File/Server and Data Lake

1.1 File/Server Architecture We are thinking about Apache Tomcat and Apache HTTP. The Apache HTTP - is a powerful, flexible, HTTP/1.1 compliant web server(now with Apache HTTP 2.4) - implements the latest protocols, including HTTP/1.1 (RFC2616) - is highly configurable and extensible with third-party modules - can be customized by writing 'modules' using the Apache module… Continue reading A Business Plan Draft in Tourism Industry-File/Server and Data Lake

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A Business Plan Draft in Tourism Industry-Market Volume, Financial Forecasting, Term Sheet and Business Services and Processes Diagram

Marketing Strategy and Market Volume Easing the way has been China's recent adoption of a visa valid for 10 years for its citizens, instead of requiring them to reapply for each trip (Oregonian/OregonLive, 2015). In 2014, direct spending on leisure travel by domestic and international travelers totaled $644.9 billion. More than 3 out of 4… Continue reading A Business Plan Draft in Tourism Industry-Market Volume, Financial Forecasting, Term Sheet and Business Services and Processes Diagram

A Business Plan Draft in Tourism Industry-Biz Req Doc Version

Executive Summary 1.1 Background The tourism industry is doing great. Domestic travel has been growing at 2 percents since 2015, with 1.4 percent growth in spending (Oregonian/OregonLive, 2015). We can also see the direct spending of $928 billion on travel and tourism in the United State in 2015 and even more in 2016. According to… Continue reading A Business Plan Draft in Tourism Industry-Biz Req Doc Version

Some Classifiers Comparison for Handwriting Digits Example

Data and background: https://charleshsliao.wordpress.com/2017/02/24/svm-tuning-based-on-mnist/ In this project, we used different classifiers to examine the dataset. The algorithms we have explored in our experiments are: K-Nearest Neighbors algorithm(KNN) Support Vector Machine algorithm(SVM) Fast Nearest Neighbor algorithm(FNN) Naive Bayes algorithm(NBs) Logistic Regression(Rpart). We compared the results for each algorithm, and discussed the advantages and disadvantages of them… Continue reading Some Classifiers Comparison for Handwriting Digits Example

Credit Analysis with ROC evaluation in Neural Network and Random Forest

This is quite like the article using C5.0 to conduct classification: https://charleshsliao.wordpress.com/2017/03/04/a-quick-classification-example-with-c5-0-in-r/ We tried to use more mature and powerful algorithms with cross validation and parameters tuning. 1. At first we preprocess the data. 2. We can start with the basic logistic regression model. The ROC chart below shows the Average Under Curve value as a metric… Continue reading Credit Analysis with ROC evaluation in Neural Network and Random Forest

Digital Marketing Application Method of Machine Learning and Data Mining, with RFM Model

No matter it is a classifier or a regression model, we apply the data mining and machine learning methods to achieve a target. To be more straightforward, we need to solve a problem. Especially in Digital Marketing (or “traditional marketing with data analytics approach”) when we focus on models of AARRR, PRAPA or ARM, in… Continue reading Digital Marketing Application Method of Machine Learning and Data Mining, with RFM Model