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Was ist Weka?

Tool für maschinelles Lernen, das Data Mining durch kostenlose Online-Kurse und Big-Data-Verarbeitung ermöglicht.

Wer verwendet Weka?

Lösung für maschinelles Lernen, die kleine und mittlere Unternehmen mit Data-Mining-Tools, Deep-Learning-Kursen, Algorithmenklassifizierung und mehr unterstützt.

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Bewertungen über Weka

Durchschnittliche Bewertung

Gesamt
4,4
Benutzerfreundlichkeit
4,1
Kundenservice
3,9
Funktionen
4,3
Preis-Leistungs-Verhältnis
4,3

Nutzerbewertungen nach Unternehmensgröße (Angestellte)

  • <50
  • 51-200
  • 201-1.000
  • >1.001

Bewertungen nach Punktzahl finden

5
47%
4
47%
3
7%
Verifizierter Rezensent
Verifizierter Nutzer auf LinkedIn
Versicherung, 11–50 Mitarbeiter
Verwendete die Software für: 1-5 Monate
Herkunft der Bewertung

My first mining tool

5,0 vor 6 Jahren

Kommentare: learning data mining.

Vorteile:

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.

Nachteile:

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.

Chaya
Chaya
Trainee Software Engineer in Sri Lanka
Verifizierter Nutzer auf LinkedIn
Computer-Software, 51–200 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

Weka - Easy of mining data sets

4,0 vor 5 Jahren

Kommentare: 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.

Vorteile:

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

Nachteile:

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.

Swetha
Student in USA
Informationstechnologie & -dienste
Verwendete die Software für: Mehr als 1 Jahr
Herkunft der Bewertung

Great application, Easy to use, less resources for learning, needs more documentation

3,0 vor 6 Jahren

Kommentare: 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.

Vorteile:

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.

Nachteile:

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.

Verifizierter Rezensent
Verifizierter Nutzer auf LinkedIn
Computer-Software, 11–50 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Herkunft der Bewertung

Very useful in performance matrics evaluation

5,0 vor 2 Jahren

Kommentare: Excellent as well as user friendly weka environment

Vorteile:

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

Nachteile:

Upto now... I am not able to find its cons.

Mihitha
Mihitha
Associate software engineer in Sri Lanka
Computer-Software, 201–500 Mitarbeiter
Verwendete die Software für: Mehr als 1 Jahr
Herkunft der Bewertung

best way to data mine and get graphically

4,0 vor 5 Jahren

Kommentare: 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.

Vorteile:

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.

Nachteile:

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.

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