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Today, E-Commerce has become the largest revenue generation industry, letting seller sell everything from a pen to plane to the customers across the globe. Over an E-commerce platform where user and vendor merely interact with each other, the trust is undeniably the most important factor for users to perform transactions online. But at the same time it can't be assessed directly using some pre-defined...
This article describes the meaning of information about internet public opinion and the situation of study. It analyzes SVM, KNN and NB of the internet public opinion's tracking algorithm.
Identifying status of business cycles is critical to governments and enterprises when building business strategies. Traditionally, economic variables, such as industrial production, stock price index, manufacturing sales, are selected to compose business cycle indicators, which altogether evaluate business cycle status. In general, the release of economic variables involves long data processes that...
Mining consumer-generated text can provide business intelligence to organizations by extracting important knowledge trapped in the form of opinions, thoughts, and ideas expressed by their employees and customers on various aspects relevant to business. The key challenge here is to extract and organize relevant information from noisy text in order to effectively transform it to actionable intelligence...
This paper presents a keyword extraction technique that can be used for tracking topics over time. In our work, keywords are a set of significant words in an article that gives high-level description of its contents to readers. Identifying keywords from a large amount of on-line news data is very useful in that it can produce a short summary of news articles. As on-line text documents rapidly increase...
The 3 most important issues for anomaly detection based intrusion detection systems by using data mining methods are: feature selection, data value normalization, and the choice of data mining algorithms. In this paper, we study primarily the feature selection of network traffic and its impact on the detection rates. We use KDD CUP 1999 dataset as the sample for the study. We group the features of...
E-commerce applications generate and consume a tremendous amount of online information, which is typically available as textual documents. Conceivably, organizations and individuals generally use category sets or hierarchies to organize, archive, and access their documents. Meanwhile, organizations and individuals constantly acquire relevant documents from various Internet sources, each of which may...
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