Ads
    Related paper
  1. A FRAMEWORK FOR PREDICTING ONLINE BEHAVIOUR OF THE USERS USING CLICK STREAM
  2. Exploring the possibility of predicting users’ career guidance preferences based on analysis of community topics and the gender in the online social network users’ profiles
  3. SPANISH INTERNET USERS AND TOURISM: ANALYSIS OF ONLINE TOURIST BEHAVIOUR AMONG EXPERIENCED USERS
  4. PREDICTING USERS IN BROWSING BEHAVIOUR FOR WEB USAGE MINING USING FCM CLUSTERING
  5. Service Selection (Negotiating Users to Our Goal) by Predicting Users’ Psychological Manner (Iridology); Computer Position Next to Users
  6. A Study on Factors of Web Users Behaviour towards Online Purchasing Intention among People in Jakarta
  7. PROCESS MINING APPROACH TO DISCOVER SHOPPING BEHAVIOR PROCESS MODEL IN ECOMMERCE WEB SITES USING CLICK STREAM DATA
  8. INFERENCE ATTACK TWITTER USERS USING PUBLIC CLICK ANALYTICS AND TWITTER META DATA
  9. Online Password Guessing Attacks by Using Persuasive Cued Click Points
  10. Defending Online Password Hunch Attacks Using Persuasive Cued Click Points