“被打”和“北大” 的关联--- 趣味数据挖掘系列之一）
“被打”和“北大”的关联---趣味数据挖掘系列之一(唐常杰）(说明：这是在科学博客上的趣味数据挖掘系列十二篇中的第一篇,和朋友讨论过，博文不算正式刊物，只把
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How to use Go language for data mining?
Jun 10, 2023 am 08:39 AM
With the rise of big data and data mining, more and more programming languages have begun to support data mining functions. As a fast, safe and efficient programming language, Go language can also be used for data mining. So, how to use Go language for data mining? Here are some important steps and techniques. Data Acquisition First, you need to obtain the data. This can be achieved through various means, such as crawling information on web pages, using APIs to obtain data, reading data from databases, etc. Go language comes with rich HTTP
Data Analysis with MySql: How to Handle Data Mining and Statistics
Jun 16, 2023 am 11:43 AM
MySql is a popular relational database management system that is widely used in enterprise and personal data storage and management. In addition to storing and querying data, MySql also provides functions such as data analysis, data mining, and statistics that can help users better understand and utilize data. Data is a valuable asset in any business or organization, and data analysis can help companies make correct business decisions. MySql can perform data analysis and data mining in many ways. Here are some practical techniques and tools: Use
What is the difference between data mining and data analysis?
Dec 07, 2020 pm 03:16 PM
Differences: 1. The conclusions drawn by "data analysis" are the results of human intellectual activities, while the conclusions drawn by "data mining" are the knowledge rules discovered by the machine from the learning set [or training set, sample set]; 2. "Data "Analysis" cannot establish mathematical models and requires manual modeling, while "data mining" directly completes mathematical modeling.
The application practice of Redis in artificial intelligence and data mining
Jun 20, 2023 pm 07:10 PM
With the rise of artificial intelligence and big data technology, more and more companies and businesses are paying attention to how to efficiently store and process data. As a high-performance distributed memory database, Redis has attracted more and more attention in the fields of artificial intelligence and data mining. This article will give a brief introduction to the characteristics of Redis and its practice in artificial intelligence and data mining applications. Redis is an open source, high-performance, scalable NoSQL database. It supports a variety of data structures and provides caching, message queues, counters, etc.
How to write association rule mining algorithm using C#
Sep 19, 2023 pm 04:19 PM
How to use C# to write association rule mining algorithms Introduction: Association rule mining is one of the important tasks in data mining and is used to discover hidden patterns and associations in data sets. Common applications include market basket analysis, recommendation systems, network user behavior analysis, etc. This article will introduce how to use C# to write an association rule mining algorithm and give specific code examples. 1. Introduction to Association Rule Mining Algorithms The goal of association rule mining algorithms is to discover frequent item sets and association rules in data sets. Frequent itemsets refer to groups of items that appear frequently in the data set.
Volcano engine tool technology sharing: use AI to complete data mining and complete SQL writing with zero threshold
May 18, 2023 pm 08:19 PM
When using BI tools, questions often encountered are: "How can we produce and process data without SQL? Can we do mining analysis without algorithms?" When professional algorithm teams do data mining, data analysis and visualization will also be presented. relatively fragmented phenomenon. Completing algorithm modeling and data analysis work in a streamlined manner is also a good way to improve efficiency. At the same time, for professional data warehouse teams, data content on the same theme faces the problem of "repeated construction, relatively scattered use and management" - is there a way to produce data sets with the same theme and different content at the same time in one task? Can the produced data set be used as input to re-participate in data construction? 1. DataWind’s visual modeling capability comes with the BI platform Da launched by Volcano Engine
Detailed explanation of Apriori algorithm in Python
Jun 10, 2023 am 08:03 AM
The Apriori algorithm is a common method for association rule mining in the field of data mining, and is widely used in business intelligence, marketing and other fields. As a general programming language, Python also provides multiple third-party libraries to implement the Apriori algorithm. This article will introduce in detail the principle, implementation and application of the Apriori algorithm in Python. 1. Principle of Apriori algorithm Before introducing the principle of Apriori algorithm, let’s first learn the next two concepts in association rule mining: frequent itemsets and support.
Time Series Forecasting Tips in Python
Jun 10, 2023 am 08:10 AM
With the advent of the data era, more and more data are collected and used for analysis and prediction. Time series data is a common data type that contains a series of data based on time. The methods used to forecast this type of data are called time series forecasting techniques. Python is a very popular programming language with strong data science and machine learning support, so it is also a very suitable tool for time series forecasting. This article will introduce some commonly used time series forecasting techniques in Python and provide some practical applications
