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
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
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
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
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
Assume we have an A/B testing data set here. It is about the conversion rate of the same landing page related to two posts on Facebook with different head pics. Let us take a look at a quick F-test example. The test said that this is no significantly difference. We launched a power test here… Continue reading A/B testing with BayesAB
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
Association rules are used to decided what items would lead to other items' purchase. The practice is commonly known as market basket analysis due to the fact that it has been so frequently applied to supermarket data. The dataset used here was adapted from the Groceries dataset in the arules R package.