Notes moyennes8 avis
- Note globale 4.5 / 5
- Facilité d'utilisation 4 / 5
- Service client 3.5 / 5
- Fonctionnalités 4.5 / 5
- Rapport qualité-prix 4 / 5
Informations sur le produit
- Version gratuite Non
- Version d'essai gratuite Non
Informations sur l'éditeur
- University of Waikato
Weka - Fonctionnalités
- Bibliothèque d'algorithmes de ML
- Deep learning
- Modèle de formation
- Modélisation prédictive
- Outils mathématiques et statistiques
- Traitement automatique des langues (TAL)
Avis les plus utiles sur Weka
Publié le 24/01/2019
Weka - Easy of mining data sets
Commentaires: Weka is one of the main tools used for data mining .Weka provides large number of data mining algorithms for the users which helps the users to try any type of data mining technique through one software product. Also it provides data preprocessing facility which helps to format the data set.
Weka Waikato Environment for Knowledge Analysis is a data mining tool which helps the users to analyze the data sets and identify patterns and make decision based on them. Weka provides data visualization and large number of algorithms which helps to analyze the data sets.
Users are given the facility to import data sets through different data types.csv (Comma separated Values) files, data base files
Weka is a freely available software tool which can be downloaded through internet with out making any specific payment.
Weka provides functions for data preprocessing. Using Weka users can mange null values ,deal with different data types and format data ranges easily .Preprocessing of large data sets can be easily done in Weka when considering the other data mining tools.
Weka is not for a particular data mining process. Using Weka users can try data mining techniques like clustering ,classification ,regression. All these techniques are provided in this one tool
Weka is implemented in java. In order to use Weka users need to have a certain knowledge about it. Once a user is given proper guidance or proper guidelines user may carry out the process with out any issue. But there must be a guidance with out proper instructions it is difficult to work on Weka.
It is not easy to connect Weka with a separately developed user interface .It does not support all the IDEs .Weka supports only few java based IDEs like eclipse. Yet still it takes lengthy and complex coding to connect Weka with a user interface developed by any other IDE when comparing to the other tools.
Publié le 23/02/2019
best way to data mine and get graphically
Commentaires: Overall experience with weka is good. first I worked with weka for my university assignments. At that time I am not familiar with that. but in very small time period I was able to work with this environment because it is easy for handle. It gives very clear graphical details and those graphical details are very attractive. weka is the best software to do data mining.
Avantages: We can use this as very easily for designe data mining algorithms. This software gives very clearly graphical out puts. Very easy to work with software because there is no anything have to do very hard. it is user friendly also. It helps to user solve their problems and get quality predictions. no any breaking points. as well as there a re no any kind of mistakes. This software is very helpfull to me for do my datamining tasks. as a student and a employee.
Inconvénients: This software is mainly use for data mining using algorithms. So at that time if we can create this much more user friendly that is the best this ever do. But now also there is no big issue with that.
Publié le 21/04/2018
I taught Weka in a graduate course called Business Analytics.
Commentaires: Weka is free and powerful. I used it to illustrate data mining concepts.
Avantages: Weka is powerful and easy to use data mining software. Currently, it is open source. The free online courses associated with Weka are very valuable.
Inconvénients: The file format for Weka is not very popular. There is a learning curve. An intelligent assistant system would be very useful to help people understand errors.
Publié le 21/02/2018
Great application, Easy to use, less resources for learning, needs more documentation
Commentaires: I could learn the basics of Data Mining and Data Warehousing with this software. It helped build the basics. I could explore a lot of things in the application very easily because of the ease of its usage. It should be a definite stepping stone for each and every student who is new to the world of data science.
Avantages: Weka was the first tool I had used for Data Mining. It's a good tool with all the bare minimum functionalities for any student. It provides as a great source of learning and exploration. As a student, I loved working with this software and writing reports of my findings. The machine learning algorithms that can be implemented with this software are also very easy to understand. Modifications and tweeking of the data and playing around with the input and being able to visualize it is a bonus.
Inconvénients: This software has very less documentation and support available online. Not many people have been using it. It needs more acceptance in the Data Mining industry, especially for introducing these tools to the students. It proves to be a very good resource and learning experience as seen in my case as well as my classmates.
Publié le 01/09/2018
Perfect free tool for teaching intro to machine learning
Commentaires: Perfect learning tool for teaching students!
Avantages: Weka is a program developed by academic and is free to use, which is great because I use it to teach the basics of machine learning to my computational social science students. Its simple interface is easy for them to use, and the different types of analyses to choose from, like decision trees, are great for them to learn from.
Inconvénients: I wish the regression analysis would give p values. But then again, if I am going to do regression then I will use Stata. That is not the focus of this software, so it's not a big deal.