Data mining example
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The document provides instructions for a task to perform classification on a US census dataset using KNIME to predict income. It instructs the user to experiment with decision trees, naive Bayes, and neural networks, and submit a report describing the experiments, results, and screenshots. The conclusion states that decision trees achieved the best accuracy of 83.2% on this dataset, compared to 76.5% for artificial neural networks and 76.4% for naive Bayes.
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Odoo ERP software, a leading open-source software for Enterprise Resource Planning (ERP) and business management, has recently launched its latest version, Odoo 17 Community Edition. This update introduces a range of new features and enhancements designed to streamline business operations and support growth.
The Odoo Community serves as a cost-free edition within the Odoo suite of ERP systems. Tailored to accommodate the standard needs of business operations, it provides a robust platform suitable for organisations of different sizes and business sectors. Within the Odoo Community Edition, users can access a variety of essential features and services essential for managing day-to-day tasks efficiently.
This blog presents a detailed overview of the features available within the Odoo 17 Community edition, and the differences between Odoo 17 community and enterprise editions, aiming to equip you with the necessary information to make an informed decision about its suitability for your business.LORRAINE ANDREI_LEQUIGAN_HOW TO USE ZOOM
Zoom is a comprehensive platform designed to connect individuals and teams efficiently. With its user-friendly interface and powerful features, Zoom has become a go-to solution for virtual communication and collaboration. It offers a range of tools, including virtual meetings, team chat, VoIP phone systems, online whiteboards, and AI companions, to streamline workflows and enhance productivity.
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Introducing Crescat - Event Management Software for Venues, Festivals and Eve...
Crescat is industry-trusted event management software, built by event professionals for event professionals. Founded in 2017, we have three key products tailored for the live event industry.
Crescat Event for concert promoters and event agencies. Crescat Venue for music venues, conference centers, wedding venues, concert halls and more. And Crescat Festival for festivals, conferences and complex events.
With a wide range of popular features such as event scheduling, shift management, volunteer and crew coordination, artist booking and much more, Crescat is designed for customisation and ease-of-use.
Over 125,000 events have been planned in Crescat and with hundreds of customers of all shapes and sizes, from boutique event agencies through to international concert promoters, Crescat is rigged for success. What's more, we highly value feedback from our users and we are constantly improving our software with updates, new features and improvements.
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原版定制美国纽约州立大学奥尔巴尼分校毕业证学位证书原版一模一样
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1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
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8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
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Data mining example
- 1. Artificial intelligence algorithms performance analysis Aamir khan aamirkhan.iba@gmail.com IBA karachi, Pakistan
- 2. Data to be analyzed
- 3. Task: • Use KNIME to perform classification on the given dataset. The dataset has been taken from UCI Mahine Learning repository and uses US census data to predict whether the income of a person exceeds $50K/yr. The details of the dataset can be found at • http://archive.ics.uci.edu/ml/datasets/Adult • You have to experiment with different classification approaches discussed in the course (i.e. Decision tree, Naive Bayes', Neural Networks) using different set of attributes. You may first need to do some data pre-processing to clean your data first. • You are required to submit a report describing different experiments that you conducted (along with the screenshots of weka/ knime wherever appropriate) and their results.
- 5. String Manipulation for all three Due to error in data
- 7. Normalizer
- 8. Confusion Matrix and Accuracy of Naïve Bayes
- 11. Confusion matrix and accuracy for Decision tree
- 12. ANN workflow
- 13. Column filter for ANN
- 15. Confusion matrix and Accuracy for ANN
- 16. Conclusion • Results of our workflow shows that the given data has accuracy of 76.5% in ANN, 76.4 in Naïve Bayes and 83.2 in Decision tree on the basis of our configurations. • Hence Decision tree gives best result on the provided data.