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GUEST OPINION: Today’s world revolves around the internet, users, and the data they create. That data can be valuable to all kinds of companies and ev...

/PRNewswire/ -- Team Velocity and FordDirect announced a strategic partnership at the NADA show in Dallas. The all-new Platform Solution Program offers Ford...

Creating a vision of counterterrorism technologies that arepractical and affordable and overmatch the threat of 21st centuryterrorism, implementing initiatives that broaden the market andmake it more predictable and dependable, and developing policiesthat will help to overcome the barriers to innovation are essentialsteps to harnessing technology to the future needs of lawenforcement.

Social network technologies have gained widespread attention in many fields. However, the research on Tibetan Social Network (TSN) is limited to the sentiment analysis of micro-blogs, and few researchers focus on text classification and data mining in TSN. It cannot meet the social needs of the majority of Tibetans and the text information they really care about. In this paper, we investigate and compare different models that we adopted for the classification of Tibetan text. Machine learning models including Naive Bayesian (NB), Random Forest (RF), Support Vector Machine (SVM), fastText and t...

In the age of data, data mining provides feasible tools with which to handle large datasets consisting of data from multiple sources. However, there is limited research on retrieving statistical information from data when data are confidential and cannot be shared directly. In this paper, we address this problem and propose a framework for performing data analysis using data from multiple sources without revealing true values for privacy purposes. The proposed framework includes three steps. First, data custodians individually mask data before publishing; then, the masked data collection is us...