I use Weka in my process, study, and sciences for research with my students.

I have experience with Weka's Experiment feature, as I use all the tools available in Weka.

I utilize Weka's Experiment feature for my research.

I have experience with Weka's collection of data pre-processing tools. I use many, though not all, of the tools for data preparation, and they are very useful for preparing data for the next analysis.

I use support for the Java language in Weka, but I do not use other language support.

In my opinion, Weka is very useful. I think perhaps a new function with a new algorithm in data mining could be developed. The algorithms currently available in Weka are very good, and all functions are very useful.

I have found that I need to use Weka with R and different databases, which has been very useful for me.

I am satisfied with Weka's visualization tool.

Weka is very easy to use, is very complete, and provides many benefits to the end user. It has many algorithms in data mining and many algorithms to prepare data for the next process in data mining. Weka has many graphical interfaces, though it may not have as many tools for analyzing results.

I think Weka could improve by providing more analysis options, though I am uncertain about specific recommendations at this moment.

I have been working with Weka for about six years.

I think Weka is very stable, and I give it a 10 mark.

Scalability for Weka refers to the ability to expand, the ability to increase the number of users, and the ability to increase the amount of data, among other factors. I rate the overall scalability of Weka as a 10.

Technical support for Weka is very good, and I rate it a 10.

I do not compare Weka to any other product because Weka is first place for me.

Weka's initial setup is very simple.

I installed Weka without help, and my student used it without help as well. I prepared one book about Weka for my student.

I use the free version of Weka, and I do not know the cost of the professional version or the lite version.

I can recommend Weka to other users.

I give this review a rating of 10.

In my university, we used Weka. Weka was used in marketing by my professor, I was preparing a presentation for PhD proposals specifically on energy consumption and renewable resource utilization. So, I needed data mining tools.

Weka's is fine for basic results, no big issues there.

But if you need visualizations, it's not the best choice. For someone who just needs analysis, Weka serves the purpose.

But nowadays, good visuals are crucial for presenting findings and telling a story. In my practical experience at the university, when people need quick results with strong visualizations, I don't recommend Weka.

I haven't found it particularly useful. It lacks state-of-the-art algorithms and impressive outcomes. While it might offer insights for basic warehouse tasks, it falls short of deeper understanding and results.

Moreover, a new user interface would be great, especially for beginners. Something that guides them through the available tools and helps them achieve their goals. I haven't seen anything like that myself, though maybe it's there and I missed it.

I worked with Weka for about a year and a half.

It is a stable product.

It is very easy to scale. I would rate the scalability a seven out of ten.

My primary interest lies in energy analytics, optimization, and related fields.

Unfortunately, I couldn't complete the project due to work commitments, but I realized KNIME would have been far better suited for such analysis. For data mining, I had two main options: Python libraries and KNIME. KNIME is a bit expensive, requiring membership, so I opted for Python's ease of use.

Python libraries offer free access and flexibility for various data mining tasks. Python is better than some of the state-of-the-art software.

Weka's ease of use is around seven out of ten. Anyone can pick it up. But the results could be improved, especially visualizations.

We used it offline, directly on the software.

The deployment is in between. Not super fast, but I haven't used other software for comparison.

Python libraries seem quicker at giving results, but Weka's not terribly slow for backups. It took a good three hours, but not excessively long.

Weka is free and open-source software. That is why I used it over KNIME.

I recommend it. It's been around in the industry for a while, and I consider it one of the best, except for the visualization issue. It does not have good user-friendly graphics. It does not offer good visualization or presentation. Otherwise, it's very viable.

Overall, I would rate the solution a seven out of ten.

The interface is very good, and the algorithms are the very best. Weka has a lot of algorithms and beautiful documentation for beginner learning. It is very good for my students. My students use Weka to learn data mining.

Weka could be more stable.

I have been using Weka for about five years.

Weka is scalable. About 50 people use Weka in my organization.

The initial setup is very easy.

The solution is deployed on the cloud for the local computer.

We use the free version now. My faculty is very small.

Weka is a good product.

Overall, I would rate Weka a nine out of ten.