DECISION TREES FOR IMBALANCED DATA SETS
Contact CMCRC for this article Author(s): Wei Liu, Sanjay Chawla
LOCATION INDICATIVE WORDS AND HOW TO FIND THEM
Speaker: Bo Han (RedMarker/Kaplan Professional) Seminar Date: Tuesday November 28 12:00pm Brief abstract: Social media has become a gold mine of insights into the people, opinions and events. However, this massive amount of data also challenges the efficiency and effectiveness of existing machine learning algorithms. One way to approach this problem is “divide-and-conquer”. You can partition the data into
GAMING IN FUTURES MARKET SUGGESTS MODEL COULD BE IMPROVED?
Evidence from UK interest rate futures market reveals that traders have been “drowning” the market with oversized orders, increasing their allocation under a pure pro-rata matching algorithm. The 2007 introduction of a time element to the order matching mechanism has modified the behaviour of traders. No longer is the order book drowned with orders which