Special Issue Information: Advanced Machine Learning and Data Mining: A New Frontier in Artificial Intelligence Research (Big Data and Cognitive Computing Journal)
Call for Papers
Without data, there is no machine learning (ML), so there is no doubt that big data and ML are inextricably linked. However, much research to date has tended to treat them as separate areas of development. As we are confronted with today’s difficult problems and the wealth of held data continues to grow, it is vital that new, innovative ways of examining, testing, and using big data to produce useful information are both researched/developed and integrated. Whether this be for the social good (health diagnostics, for example) or corporate gain (competitive advantage), given the exponentially increase in both the volume of data and the velocity by which it is generated, the need for the expansion of direct cooperation of mining big data with ML is long overdue. For this Special Issue, as the individual fields of advanced machine learning and advanced data mining are well established, the focus will be specifically on their intersection: the point―or points―at which one aids, needs, or enhances the other.
This new frontier is almost boundless, but will eventually become the norm. Automatically learning and improving from experience without being explicitly programmed gives great opportunities. The quality of the data being used, its speed of acquisition, and the effectiveness of processing are all of vital importance―if Microsoft’s AI chatbot Tay taught us anything at all, it is certainly this.
An open request for help/consultation here. Please get in contact if you can …
Two researchers at Wrexham Glyndŵr University, Jess Muirhead and Prof. Vic Grout, have been commissioned by Alcohol Change UK to undertake a study of the effectiveness of online ‘age-gating’ mechanism’s in preventing under 18-year olds from purchasing alcohol via the Internet. We have limited time to complete this research and produce our report so we are looking to conduct interviews with relevant actors (finance, producers, suppliers, distributers, retailers, web-designers, local authorities, customers, etc.) as quickly as possible. Thus, we’re hoping we can arrange an opportunity to speak with people at their earliest convenience. We can talk on the phone, face-to-face (travel costs permitting), using any online software or any other format that suits anyone.
We’d like to stress unequivocally that anonymity will we be guaranteed throughout. We will not record these discussions and no individual attribution will appear in our final report. Although we might takes the roughest of notes during the interview, these will be only to remind us of points to follow up on to guide us in our ongoing research. This is essentially a fact-finding exercise; certainly not any sort of ‘undercover operation’. There will be no ‘blaming or shaming’: we simply want to get a clearer idea of what processes are in place; what works and what doesn’t. We’re also naturally very interested indeed in others’ thoughts on how future processes could be improved.
So we’d be extremely grateful to anyone who could spare half an hour or so to help us with this research. If you can, and considering the element of urgency in this, could you please get back to us quickly by any of the following means:
Thank you in advance and we look forward to talking to you.
Jess Muirhead & Vic Grout, Department of Computing, Wrexham Glyndŵr University
Yes, indeed, there’s a new edition of the novel!
Updated slightly to reflect changing world events (although, sadly, all the initial predictions are pretty much coming true now). And with a swish new cover! Just search for ‘Vic Grout Conscious’ on Amazon in your region (and choose the one with the cool blue cover) or use the direct links below.
Einstein’s contribution to science is elegantly précised by the equation E = mc². This is unfortunately the best I can offer …
But it is based on three decades of observation and experience, inside and outside of management. This is how it works …
As a manager, what do you find hardest, makes you most uncomfortable, to be avoided at all costs, and wherever possible? Is it …
- Spending time with your team: working out what they need, pitching-in, pulling together, but having to justify decisions made by higher management? Or …
- Spending time with other managers, making decisions that affect your team, but ‘away’ from your team, often doing your best to keep things from your team?
In other words, whose side are you on? (1) Your team’s, or (2) Management’s. If you’re more comfortable spending all your time with other managers, but would rather not have to face your team with the decisions made, you know which you are!