--- description: 검증된 사용 후기를 확인하고 Weka 사용성, 특징, 가격, 장점과 단점에 대한 자세한 정보를 확인해보세요! 비슷한 경쟁 제품도 확인이 가능합니다. image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress title: Weka 가격, 사용 후기, 평점 | 켑테라 Capterra --- Breadcrumb: [홈](/) > [기계 학습 소프트웨어](/directory/31103/machine-learning/software) > [Weka](/software/171134/weka) # Weka Canonical: https://www.capterra.co.kr/software/171134/weka Page: 1 / 2\ 다음: [Next page](https://www.capterra.co.kr/software/171134/weka?page=2) > 무료 온라인 코드 및 빅 데이터 처리를 통해 데이터 마이닝을 가능하게 해주는 기계 학습 도구입니다. > > Verdict: Rated **4.4/5** by 15 users. Top-rated for **추천 가능성**. ----- ## Overview ### Weka은(는) 누가 사용하나요? 데이터 마이닝 도구, 딥 러닝 코스, 알고리즘 분류 등을 지원하는 중소기업을 위한 기계 학습 솔루션입니다. ## Quick Stats & Ratings | Metric | Rating | Detail | | **종합** | **4.4/5** | 15 리뷰 | | 사용 편의성 | 4.1/5 | Based on overall reviews | | 고객 지원 | 3.9/5 | Based on overall reviews | | 비용 대비 가치 | 4.3/5 | Based on overall reviews | | 특징 | 4.3/5 | Based on overall reviews | | Recommendation percentage | 90% | (9/10 추천 가능성) | ## 공급업체 정보 - **회사**: University of Waikato ## Commercial Context - **Target Audience**: 자영업, 2~10, 11~50, 51~200, 201~500 - **Deployment & Platforms**: 클라우드, SaaS, 웹 기반, Windows(데스크톱) - **Supported Languages**: 영어 - **Available Countries**: 뉴질랜드 ## 특징 - ML 알고리즘 라이브러리 - 데이터 가져오기/내보내기 - 데이터 시각화 - 딥 러닝 - 예측 모델링 ## Support Options - 이메일/지원 센터 ## Category - [기계 학습 소프트웨어](https://www.capterra.co.kr/directory/31103/machine-learning/software) ## 대안 1. [Google Cloud](https://www.capterra.co.kr/software/170983/google-cloud-platform) — 4.7/5 (2282 reviews) 2. [XLSTAT](https://www.capterra.co.kr/software/119448/xlstat) — 4.7/5 (398 reviews) 3. [vSphere](https://www.capterra.co.kr/software/93512/vmware-horizon) — 4.7/5 (433 reviews) 4. [Minitab](https://www.capterra.co.kr/software/109731/minitab-statistical-software) — 4.5/5 (388 reviews) 5. [Dataiku](https://www.capterra.co.kr/software/142192/data-science-studio-dss) — 4.6/5 (13 reviews) ## 리뷰 ### "Weka - Easy of mining data sets" — 4.0/5 > **Chaya** | *2019년 1월 24일* | 컴퓨터 소프트웨어 | Recommendation rating: 8.0/10 > > **장점**: 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 > > **단점**: 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 > **검증된 리뷰어** | *2022년 8월 30일* | 컴퓨터 소프트웨어 | Recommendation rating: 10.0/10 > > **장점**: 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 > > **단점**: 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** | *2018년 2월 21일* | 정보 기술 및 서비스 | Recommendation rating: 8.0/10 > > **장점**: 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. > > **단점**: 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** | *2019년 2월 23일* | 컴퓨터 소프트웨어 | Recommendation rating: 8.0/10 > > **장점**: 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. > > **단점**: 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 > **검증된 리뷰어** | *2019년 9월 30일* | 리서치 | Recommendation rating: 9.0/10 > > **장점**: 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). > > **단점**: 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\ 다음: [Next page](https://www.capterra.co.kr/software/171134/weka?page=2) ## Links - [View on Capterra](https://www.capterra.co.kr/software/171134/weka) ## This page is available in the following languages | Locale | 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 | | ----- ## Structured Data