Association rule mining on multi media data
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Association Rule Mining on Multi-Media Data. Auto Annotation on Images Bhavika Patel Hau San Si Tou Juveria Kanodia Muhammad Ahmad. Auto Annotation on Images. This project is on performing Association Rule Mining on Multi-relational, Multimedia Data, particularly pictures and text.

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Association rule mining on multi media data
Association Rule Mining on Multi-Media Data

Auto Annotation on Images

Bhavika Patel

Hau San Si Tou

Juveria Kanodia

Muhammad Ahmad


Auto annotation on images
Auto Annotation on Images

  • This project is on performing Association Rule Mining on Multi-relational, Multimedia Data, particularly pictures and text.

  • Corpus: a group of 798 picturesof different kinds such as art, landscape … with descriptions

  • Generate association rules on image data (the RGBY values), and on text data separately. Propose an algorithm to link these two different domains together.

  • Goal: return words that will describe a given unknown picture










Single pass rebuild
Single pass rebuild combination of min supp & conf

  • Specify common key

  • Rebuild the tables based on the common key

  • Use Apriori

  • EXAMPLE:

    Table 1:

    purchase(customer,item,amount)

    item(customer,item_id)

    Table 2

    purchase_total(customer,items)

    Query:

    Customers who buy a lot of stuff what do they usually but?

    purchase_total(X,items)

    return item(X,item_id)


Conclusion
Conclusion combination of min supp & conf

  • So we have a partial solution multimedia ARM problem, however there many things that can be done further, to improve upon it.

  • Need to find a way to restrict the number of keywords that we get.

  • Need to find an easier method than the present lookup method, as too many files are involved.

  • Need for an efficient data structure to do the above point.

  • Alternative Schemes


The end
The End combination of min supp & conf

Please visit our project’s website at http://www.cs.rit.edu/~p759-06c

to find detailed information.


Questions
Questions? combination of min supp & conf


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