How big is the conference? Will it be held again in 2023? Statistics: Posted by Alva — Fri Feb 10, 2023 12:48 am ..read more

Nowadays with ChatGPT and tools to paraphrase, its gonna be harder and harder to check for plagiarism. Statistics: Posted by Alva — Fri Feb 10, 2023 12:47 am ..read more

Yes, just bad here too Statistics: Posted by Alva — Fri Feb 10, 2023 12:46 am ..read more

ANy papers to recommend me on this topic? Statistics: Posted by Alva — Fri Feb 10, 2023 12:45 am ..read more

I tried it. It is quite impressive what it can do. But the problem is that the output cannot be really trusted. Sometimes it is correct and sometimes it provides incorrect information. I guess that there will be some improvement to fix that problem in the future. In the meantime, I think one certainly needs to check the output carefully for errors if it is to be used for anything. Statistics: Posted by admin — Tue Jan 31, 2023 1:14 am ..read more

Episode mining and sequential pattern mining are both data mining techniques used to uncover patterns in a sequence of events. The main difference between them is that episode mining seeks to identify patterns that occur in a single sequence, while sequential pattern mining looks for patterns that occur across multiple sequences. Another difference is that episode mining typically uses a fixed-length window, while sequential pattern mining can use a variable-length window. Also, episode mining tends to be used for analyzing temporal data, while sequential pattern mining is most often used f ..read more

Some important limitations of K-means are that it is sensitive to outliers, it requires the specification of the number of clusters, and it tend to produce clusters that have globular shapes. Also K-means is not suitable for clustering data with non-numeric features or categorical data, as it relies on the mean of the data points in order to determine the clusters. Finally, K-means can fail to converge on the optimal clustering solution if the initial cluster centers are chosen poorly. Statistics: Posted by admin — Tue Jan 31, 2023 1:10 am ..read more

Funny. I asked YouChat to write a Ganster Rap song about SPMF. Here is the result: Verse 1: I'm a G, and I'm gonna represent For the SPMF data mining software I'm gonna be the best Gonna take the algorithms and make sure they've been perfected I'm gonna put it all together and make sure it's connected Chorus: Gonna take it to the top, I'm gonna do it for SPMF Gonna put in the work, gonna make sure that it pays Gonna put it all on the line, gonna put it all in the mix Gonna make a name for myself and put on for SPMF Verse 2: Gonna take the data, gonna analyze it all Gonna make sure that eve ..read more

I also tried it: An algorithmic journey, to find frequent itemsets With SPMF, the task was no longer a threat It quickly finds patterns, without fail So that meaningful insights, we can avail From data sets large and small SPMF can find patterns, one and all It takes the guesswork out of the hunt And makes the task easier, so we can't be outdone SPMF is a powerful tool, for data miners to use It can help us find patterns, we didn't think to peruse It can save us time, and make our lives easier So let's use SPMF, and make our data the wiser! Statistics: Posted by Gerald — Tue Jan 31, 2023 ..read more

As a student, writing can be a difficult and time-consuming task. It can be difficult to stay motivated and stay focused on the task at hand. To be successful, it is important to break down the task into smaller, more manageable chunks, and to set achievable goals for yourself. It is also important to take regular breaks and to find ways to stay motivated, such as setting rewards for completing tasks. Additionally, it can be helpful to talk to other students who are also working on similar projects, as they may be able to offer valuable insights and advice. Finally, it is important to be organ ..read more