Feeds

Digging into the future of data mining

Crystal ball gazing

Providing a secure and efficient Helpdesk

Comment The first thing to appreciate about data mining is that it should be thought of as R&D. That is, you do a bunch of research, some of which (but by no means all) is then deployable in the business. Moreover, some of it becomes so well established that it becomes a mass market product. For example, market basket analysis (which products have relationships to others) was once regarded as being as esoteric as anything else in data mining but is now so mainstream that it is embedded in all sorts of other environments. This is a trend that will continue, with techniques moving out of data mining R&D and into conventional deployment.

Historically, this move out of data mining has been to call centres, CRM, fraud and other standard applications. However, as complex event processing (CEP) engines take greater market share then we are likely to see increasing synergy with data mining. After all, CEP is essentially about identifying patterns and then detecting anomalies, which is exactly what data mining does.

There is a lot of hype about predictive analytics as opposed to data mining. If we take the case of market basket analysis, this is essentially saying that once we have identified that the sale of nappies is associated with beer sales (even if that is an urban myth) then we can make predictions about one based on the other. Useful, and certainly an increasing focus, but not really significantly different from what data mining has always been about.

Of course, there is also a trend to make data mining easier (and less costly) to do, but that is hardly surprising: it is common across the whole IT sector.

In my view, perhaps the most important trend is towards the integration of text mining and data mining. As yet, this is a relatively immature market but the fact is that most information held within business today is in unstructured format. While most of the discussion has been about Search that is simply about finding things related to a particular topic, while text mining is about finding patterns of information within text which, in the right context, is much more valuable. Moreover, with the advent of DB2 Viper we are likely to see the increased use of applications that employ both relational and XML-based information, in which case a combination of data and text mining makes sense.

While SPSS is one of the two major players in the data mining market it is the clear leader in the text mining space, not least because it is the dominant provider of market research software, and doing text mining on the back of the results of market research makes obvious sense. However, it is probably also the leading provider of combined text and data mining outside of this environment as well, so if I am right about the future of data mining, and its increased use with text capabilities, then SPSS is very well-placed.

SPSS is also in a good position because IBM has withdrawn the client component of its Intelligent Miner product and users thereof will be looking for a replacement offering, and SPSS has a much closer relationship with IBM than its major competitors, which it is looking to capitalise upon by picking up these users.

Copyright © 2006, IT-Analysis.com

Internet Security Threat Report 2014

More from The Register

next story
Microsoft on the Threshold of a new name for Windows next week
Rebranded OS reportedly set to be flung open by Redmond
Apple: SO sorry for the iOS 8.0.1 UPDATE BUNGLE HORROR
Apple kills 'upgrade'. Hey, Microsoft. You sure you want to be like these guys?
SMASH the Bash bug! Apple and Red Hat scramble for patch batches
'Applying multiple security updates is extremely difficult'
ARM gives Internet of Things a piece of its mind – the Cortex-M7
32-bit core packs some DSP for VIP IoT CPU LOL
Lotus Notes inventor Ozzie invents app to talk to people on your phone
Imagine that. Startup floats with voice collab app for Win iPhone
'Google is NOT the gatekeeper to the web, as some claim'
Plus: 'Pretty sure iOS 8.0.2 will just turn the iPhone into a fax machine'
prev story

Whitepapers

Providing a secure and efficient Helpdesk
A single remote control platform for user support is be key to providing an efficient helpdesk. Retain full control over the way in which screen and keystroke data is transmitted.
Intelligent flash storage arrays
Tegile Intelligent Storage Arrays with IntelliFlash helps IT boost storage utilization and effciency while delivering unmatched storage savings and performance.
Beginner's guide to SSL certificates
De-mystify the technology involved and give you the information you need to make the best decision when considering your online security options.
Security for virtualized datacentres
Legacy security solutions are inefficient due to the architectural differences between physical and virtual environments.
Secure remote control for conventional and virtual desktops
Balancing user privacy and privileged access, in accordance with compliance frameworks and legislation. Evaluating any potential remote control choice.