Data cleaning

Bài giảng Khai phá dữ liệu (Data mining): Data preprocessing, chương này trình bày những nội dung về: why preprocess the data; descriptive data summarization; data cleaning; data integration and transformation; data reduction; discretization and concept hierarchy generation;... Mời các bạn cùng tham khảo chi tiết nội dung bài giảng!

71p diepkhinhchau 18-09-2023 9 5   Download

Livelihood models for the development of clean agricultural products are considered highly important in the Vietnamese economy and essentially strategic in the context of international integration for Vietnam. The paper is based on secondary data, focusing on the analysis and assessment of the importance of developing clean agricultural products for sustainable development.

8p larachdumlanat129 14-01-2021 17 1   Download

A field survey was conducted in Aravalli district to determine the healthcare management practices followed by dairy farmers. Data were collected from randomly selected 150 dairy farmers through personal interview with the help of pretested structured schedule. It was revealed that majority of the respondents (86.66%) observed off feed as main symptom of illness followed by decrease in milk production (39.33%), uneasiness (24.00%) and dry muzzle (21.33%).

7p gaocaolon5 14-06-2020 14 1   Download

This study is based on the data collected from working with different departments of the Ministry of Natural Resources and Environment and in the 12 selected communes, 9 districts of 3 provinces – Ha Giang, Dak Lak and Kien Giang. The findings show that The implementation of some propoor targets e.g. water licensing, Environmental Impact Assessment, mineral resources mapping etc.

5p cumeo2005 02-07-2018 83 1   Download

Parallel corpora are made by human beings. However, as an MT system is an aggregation of state-of-the-art NLP technologies without any intervention of human beings, it is unavoidable that quite a few sentence pairs are beyond its analysis and that will therefore not contribute to the system. Furthermore, they in turn may act against our objectives to make the overall performance worse. Possible unfavorable items are n : m mapping objects, such as paraphrases, non-literal translations, and multiword expressions.

9p hongphan_1 15-04-2013 74 4   Download

Tại sao cần chuẩn bị dữ liệu?. Làm sạch dữ liệu ( data cleaning) . Chọn lọc dữ liệu (data selection) . Rút gọn dữ liệu ( data reduction) . Mã hoá dữ liệu3CÁC KIỂU DỮ LIỆUDữ liệu dạng thuộc tính giá trị (Attribute-value data) Các kiểu dữ liệu  số (numeric), phi số (categorical)  Tĩnh, động (thời gian) Các dạng dữ liệu khác.

30p abcdef_14 19-07-2011 420 43   Download