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This forum is about data mining, data science and big data: algorithms, source code, datasets, implementations, optimizations, etc. You are welcome to post call for papers, data mining job ads, link to source code of data mining algorithms or anything else related to data mining. The forum is hosted by P. Fournier-Viger. No registration is required to use this forum!.  

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2 months ago
i201606
Thanks a lot both of you for valued and informative comments. Actually, I have a plan to train model for pattern mining over stream data especially. Could you please add any comments regarding this idea?
Forum: The Data Mining / Big Data Forum
2 months ago
i201606
Hi Prof, Can we apply machine learning algorithm for mining (frequent, high utility etc.)?
Forum: The Data Mining / Big Data Forum
2 months ago
i201606
Got your ideas. Thanks a lot again.
Forum: The Data Mining / Big Data Forum
2 months ago
i201606
You meant to say, this would be the corresponding vertical database: Transaction1: item1 item3 item4 Transaction2: item1 item2 Transaction3: item2 item4 Item1: Transaction1 Transaction2 Item2: Transaction2 Transaction3 Item3: Transaction1 Item4: Transaction1 Transaction3 Got it, Thank you so much!
Forum: The Data Mining / Big Data Forum
2 months ago
i201606
Could youp please elaborate it with example?
Forum: The Data Mining / Big Data Forum
2 months ago
i201606
Thanks a lot for your valued and prompt respnose. Also, The work on FIM over data stream has been started from near about 2005. Can you think we can get the noval ideas by reading them?
Forum: The Data Mining / Big Data Forum
2 months ago
i201606
I've rcently submitted a paper on Closed High Utility Freqent Itemsets Mining in static database. Now, I want to implement this idea on stream data by making a high ranked journal paper as a base. Although, I have done literature a lot but could not find the high-rank journal paper relevant to my work. Could anyone please support me in the following aspects:- - recommend the high ranked journal
Forum: The Data Mining / Big Data Forum
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