--- description: Weka : avantages et inconvénients. Lisez les avis clients, consultez les prix et découvrez les fonctionnalités. image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress title: Weka - Avis, notes, prix et abonnements - Capterra Canada 2026 --- Breadcrumb: [Accueil](/) > [Outils d'apprentissage automatique](/directory/31103/machine-learning/software) > [Weka](/software/171134/weka) # Weka Canonical: https://fr.capterra.ca/software/171134/weka Page : 1/2\ Suivant: [Page suivante](https://fr.capterra.ca/software/171134/weka?page=2) > Logiciel de data mining qui vous permet d'appliquer des algorithmes de machine learning pour la classification, la mise en cluster, la visualisation, etc. des données. > > Conclusion : 15 utilisateurs lui ont donné la note de **4.4/5**. Figure au meilleur classement pour **Probabilité de recommander le produit**. ----- ## Statistiques et notes | Métrique | Notation | En détail | | **Note globale** | **4.4/5** | 15 Avis | | Simplicité | 4.1/5 | D'après l'ensemble des avis | | Support client | 3.9/5 | D'après l'ensemble des avis | | Rapport qualité-prix | 4.3/5 | D'après l'ensemble des avis | | Fonctionnalités | 4.3/5 | D'après l'ensemble des avis | | Pourcentage de recommandation | 90% | (9/10 Probabilité de recommander le produit) | ## À propos du vendeur - **Entreprise**: University of Waikato ## Contexte commercial - **Public cible**: Travailleur autonome, 2–10, 11–50, 51–200, 201–500 - **Déploiement et plateformes**: Cloud, SaaS, web, Windows (ordinateur) - **Langues**: anglais - **Pays disponibles**: Nouvelle-Zélande ## Fonctionnalités - Bibliothèque d'algorithmes de ML - Deep learning - Importation et exportation de données - Modélisation prédictive - Visualisation de données ## Ressources d'aide - Service client/courriel ## Category - [Outils d'apprentissage automatique](https://fr.capterra.ca/directory/31103/machine-learning/software) ## Logiciels similaires 1. [Rayven](https://fr.capterra.ca/software/173908/rayven-industrial-business-intelligence) — 5.0/5 (24 reviews) 2. [Google Cloud](https://fr.capterra.ca/software/170983/google-cloud-platform) — 4.7/5 (2262 reviews) 3. [Clickworker](https://fr.capterra.ca/software/175432/clickworker) — 4.3/5 (58 reviews) 4. [Anaconda](https://fr.capterra.ca/software/191760/anaconda) — 4.6/5 (86 reviews) 5. [MySQL](https://fr.capterra.ca/software/11482/mysql) — 4.6/5 (2094 reviews) ## Avis ### "Weka - Easy of mining data sets" — 4.0/5 > **Chaya** | *24 janvier 2019* | Logiciels | Taux de recommandation : 8.0/10 > > **Avantages**: 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 > > **Inconvénients**: 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. > > 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. ----- ### "Very useful in performance matrics evaluation" — 5.0/5 > **Utilisateur vérifié** | *30 août 2022* | Logiciels | Taux de recommandation : 10.0/10 > > **Avantages**: It can easily be integrated with other tools. I worked on antminer tool based on java.. i called weka tool from eclipse ide java program. My results are given as input to weka tool and i got desired output in my proposed ant colony optimization algorithm > > **Inconvénients**: Upto now... I am not able to find its cons. > > Excellent as well as user friendly weka environment ----- ### "Great application, Easy to use, less resources for learning, needs more documentation" — 3.0/5 > **Swetha** | *21 février 2018* | Services et technologies de l'information | Taux de recommandation : 8.0/10 > > **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. > > 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. ----- ### "best way to data mine and get graphically" — 4.0/5 > **Mihitha** | *23 février 2019* | Logiciels | Taux de recommandation : 8.0/10 > > **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. > > 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. ----- ### "Useful and free" — 4.0/5 > **Utilisateur vérifié** | *30 septembre 2019* | Recherche | Taux de recommandation : 9.0/10 > > **Avantages**: It is a free software for data analysis and machine learning. It is a must for students and researchers who want to learn. Very rich documentation (both written and video). > > **Inconvénients**: I had a very hard time integrating Weka with python, although it is possible to do so. Once done it works fine though. Maybe not the most suitable solution for enterprise use. It is written in Java. > > I first used Weka during my machine learning class and then I used it again every time I wanted to do data analysis without writing code from scratch. ----- Page : 1/2\ Suivant: [Page suivante](https://fr.capterra.ca/software/171134/weka?page=2) ## Liens - [Afficher sur Capterra](https://fr.capterra.ca/software/171134/weka) ## Cette page est disponible dans les langues suivantes. | Langue | URL | | de | | | de-AT | | | de-CH | | | en | | | en-AE | | | en-AU | | | en-CA | | | en-GB | | | en-IE | | | en-IL | | | en-IN | | | en-NZ | | | en-SG | | | en-ZA | | | es | | | es-AR | | | es-CL | | | es-CO | | | es-CR | | | es-DO | | | es-EC | | | es-MX | | | es-PA | | | es-PE | | | fr | | | fr-BE | | | fr-CA | | | fr-LU | | | ko | | | nl | | | nl-BE | | ----- ## Données structurées