WebCom Miner - a system of trends analysis for company products
Wenqian Shang, Haibin Zhu, Houkuan Huang · 2005
With advances of the Web, e-commerce comes to flourish. More and more companies, governments and individuals publish their information on the Internet. How could a company survive in this virtual world? It's an urgent problem to solve. So we design a novel mining system - WebCom Miner to help the company's decision-maker to make a scientific decision-making. This work presents the architecture of the system, the function of every part of the system, along with the basic method. The aim is to support the decision-maker to make a proper decision-making. Each part of the system gives a report of trend analysis and the system gives a friendly interface and can communicate with the user. Even part of the system adopt different mining algorithm, ensuring the system to ruin in high efficiency and precision.