ICAI 2013 Session title: Learning related to MapReduce and Phishing Detection
This session combines between new trends in learning algorithms within data mining and machine learning. The first one is the MapReduce programming paradigm which is becoming popular for large scale data intensive distributed applications due to its efficiency, simplicity and ease of use. The second trend is about web security such as detecting phishing which is simply identifying the type of a website and email based on certain characteristics that are connected with the website/email. Papers related to distributed, parallel, incremental learning algorithms for the different type of data mining tasks (classification, clustering, association rule, etc) are welcome.