Notes moyennes10 avis
- Note globale 4.2/5
- Facilité d'utilisation 3.9/5
- Service client 3.8/5
- Fonctionnalités 4.3/5
- Rapport qualité-prix 4/5
Informations sur le produit
- Version gratuite Non
- Essai gratuit 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 11/06/2018
My first mining tool
Commentaires: learning data mining.
Avantages: Had to proof a theory in data mining using Weka in my studies. This software thought me a lot about the subject when implementing as a university project a data mining algorithm. The result were reproducible on another software, but the my theory was learned and refine using Weka.
Inconvénients: Limited literature available and online support in case of issue. This took a lot of time to pass in order to enjoy the software functionality. But this is common in data mining software.
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 20/11/2019
Avantages: It is written in Java, hence can run on any modern computing platform and it usable for open source and Linux users.
Inconvénients: It could have a simpler menu for graphic depiction of the data analysis.
Publié le 30/09/2019
Useful and free
Commentaires: 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.
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.
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.