Tag：data mining
-
Time：2021-9-2
Data mining refers to the process of searching hidden information from a large number of data through algorithms, which is usually related to computer science, and achieves the above objectives through many methods, such as statistics, online analysis and processing, information retrieval, machine learning, expert system (relying on past experience rules) and pattern recognition. I […]
-
Time：2021-7-29
1、 Definition of data modeling Data modeling refers to the abstract organization of all kinds of data in the real world, determining the jurisdiction of the database and the organization form of data, until it is transformed into a real database. After transforming the conceptual model abstracted after system analysis into physical model, the process […]
-
Time：2021-5-13
With the development of China’s modern society, the rapid rise of E-commerce makes China’s commerce enter an intelligent era. More and more enterprises begin to pay attention to the intelligent information system, and hope to apply the intelligent information system project management to promote the upgrading of enterprise services, improve the sales volume of enterprise […]
-
Time：2021-5-3
1、 Why data mining? We know that Bi can assist decision-making, and BI application can be divided into status analysis, cause analysis and prediction analysis according to different degrees. Status quo analysis insight into what happened? For example, is the business good or bad? What are the performance indicators? Business structure? The composition, development and […]
-
Time：2021-2-10
In 2011, Southeast RONGTONG, which once occupied half of the financial IT field and was listed on the New York Stock Exchange, was delisted for some reason. At that time, Wu Huafu, who was engaged in Bi product research and development in Southeast RONGTONG, led the original technical backbone to set up smartbi. Since its […]
-
Time：2020-10-31
1 In the era when data can’t mix into it disdain chain He decided to all in his life Science and technology maker: what do you think is the first important node in your life? Guo Wei (hereinafter referred to as Guo): it was my junior year. I have been exposed to code and programming […]
-
Time：2020-8-21
Developers who use Python need data mining tools, because generally speaking, whether the data can be fully utilized depends on whether there are appropriate tools to clean up, prepare, merge, and correctly analyze. Today, I introduce 8 excellent data mining tools, which can be collected by interested partners.Link to the original text: https://developer.51cto.com/a…Author: fast Internet […]
-
Time：2020-7-31
One of the ways to understand a new field is to read a lot to produce a basic understanding. I have studied recommendation system and machine learning before, but I have accumulated some books along the way, and lost some. Now there are still these. Here to share with you, there are a lot about […]
-
Time：2020-7-20
Put forward 3000 questions about data warehouse. What is a data warehouse? Data warehouse (DW or DWH)It is a collection of data storage, inputting a variety of raw data, sorting and storing according to the standard and standard data architecture,It can provide fast, effective, accurate and reliable data support for enterprise decision-making and downstream applications,It […]
-
Time：2020-1-9
As a hot word in recent years, artificial intelligence has always been a powerful force in the scientific and technological circle. With the iteration of smart hardware, smart home products have gradually entered thousands of households, and AI related technologies such as voice recognition and image recognition have also experienced stepped development. How to treat […]
-
Time：2019-12-10
Now there are many friends who are interested in big data industry, but they don’t know how to start. What books should you read as a beginner of zero basic big data? Today, I did some sorting as a reference, hoping to help those students who are interested in big data. 1. Big Data Engineer […]
-
Time：2019-11-18
One hot coding is necessary in feature processing, which is how we apply it in projects, #Sklearn usage from sklearn import preprocessing enc = OneHotEncoder(sparse = False) ans = enc.fit_transform([[0, 0, 3], [1, 1, 0], [0, 2, 1], [1, 0, 2]]) The principle of analysis can be referred to: linkThe core logic of onehot coding […]
