Search results with tag "A data mining"
Fake News Detection on Social Media: A Data Mining …
www.kdd.orgFake News Detection on Social Media: A Data Mining Perspective Kai Shuy, Amy Slivaz, Suhang Wangy, Jiliang Tang \, and Huan Liuy yComputer Science & Engineering, Arizona State University, Tempe, AZ, USA zCharles River Analytics, Cambridge, MA, USA \Computer Science & Engineering, Michigan State University, East Lansing, MI, USA
Introduction to Data Mining - University of Minnesota
www-users.cse.umn.edu2. Suppose that you are employed as a data mining consultant for an In-ternet search engine company. Describe how data mining can help the company by giving specific examples of how techniques, such as clus-tering, classification, association rule mining, and anomaly detection can be applied. The following are examples of possible answers.
Fake News Detection - IJARIIT
www.ijariit.comTo detect fake news on social media, [3] presents a data mining perspective which includes fake news characterization on psychology and social theories. This article discusses two major factors responsible for widespread acceptance of fake news by the user which are Naive Realism and Confirmation Bias.
Fake News Detection Using Machine Learning - uliege.be
matheo.uliege.beof news. In order to work on fake news detection, it is important to understand what is fake news and how they are characterized. The following is based on Fake News Detection on Social Media: A Data Mining Perspective[9]. The rst is characterization or what is fake news and the second is detection. In order
Privacy Preserving Data Mining - Pinkas
www.pinkas.net1 Introduction We consider a scenario where two parties having private databases wish to cooperate by computing a data mining algorithm on the union of their databases.
Fake News Detection on Social Media: A Data Mining …
www.kdd.orgDetecting fake news on social media poses several new and challenging research problems. Though fake news itself is not a new problem{nations or groups have been using the
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