Need help picking a datamining/neural-network API

Question

I'm planning on building a feature for an e-commerce platform I developed in Java to display related products in much the same way Amazon does. There are a few different metrics for relating products that I want to explore.

• Purchase history (purchased at the same time)
• Related by family/type (similar product classifications)
• Intentionally related (boosting results; "Buy this!")

While I would probably be able to develop my own datamining library, it wouldn't be very portable and I dare say it wouldn't be very good either.

There are several packages out there for doing this sort of thing but I don't feel like I am in a position to evaluate which package or solution would work best for me. Any input anecdotal or from personal experience would be greatly appreciated.

Note: I've tagged this as Neural networking because of a python talk I was at where a neural-like-network was used for datamining, I'm not convinced a neural network is the best choice for this job.

Answer 1

There are some artificial algorithm techniques used for data mining, such as C4.5 or ID3. These algorithm does classification. Other techniques such as ant clustering, neural networks or genetic algorithms are used for classification purposes in data mining.

As far as algorithms, I don't know much but ID3/C4.5 can be easily programmed.

Hope this helps.

Answer 2

Take a look at Apache Mahout