5 citations · 16 across the 7 of their papers we have counts for
5 papers · 1 filter
Estimating defection in subscription-type markets: empirical analysis from the scholarly publishing industry
Michael Roberts, J. Ignacio Deza, Hisham Ihshaish +1
We present the first empirical study on customer churn prediction in the scholarly publishing industry. The study examines our proposed method for prediction on a customer subscrip…
Problem Classification for Tailored Helpdesk Auto-Replies
Reece Nicholls, Ryan Fellows, Steve Battle +1
IT helpdesks are charged with the task of responding quickly to user queries. To give the user confidence that their query matters, the helpdesk will auto-reply to the user with co…
A Machine Learning Approach to Classifying Construction Cost Documents into the International Construction Measurement Standard
J. Ignacio Deza, Hisham Ihshaish, Lamine Mahdjoubi
We introduce the first automated models for classifying natural language descriptions provided in cost documents called "Bills of Quantities" (BoQs) popular in the infrastructure c…
Analysing the Predictivity of Features to Characterise the Search Space
Rafet Durgut, Mehmet Emin Aydin, Hisham Ihshaish +1
Exploring search spaces is one of the most unpredictable challenges that has attracted the interest of researchers for decades. One way to handle unpredictability is to characteris…
Classification of eye-state using EEG recordings: speed-up gains using signal epochs and mutual information measure
Phoebe M Asquith, Hisham Ihshaish
The classification of electroencephalography (EEG) signals is useful in a wide range of applications such as seizure detection/prediction, motor imagery classification, emotion cla…