Data Mining

Six Major Application Scenarios of Educational Knowledge Graphs

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Six Major Application Scenarios of Educational Knowledge Graphs

The full text is about 3900 words, reading takes 9 minutes. Introduction What is a “knowledge graph”? What are its application scenarios? Author丨Tinghao Shi, Fudan University Knowledge Workstation Laboratory Source丨Knowledge Graph Space 01Construction and Application Ideas of Educational Knowledge Graph1. Construction of Knowledge Graph in Education FieldBuilding an educational knowledge graph is the foundation for … Read more

Neural Network Gaussian Process

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Neural Network Gaussian Process

MLNLP community is a well-known machine learning and natural language processing community both domestically and internationally, covering NLP master’s and doctoral students, university teachers, and corporate researchers.The vision of the community is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning, especially for beginners. Reprinted from … Read more

The Origins of Artificial Intelligence

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Artificial Intelligence (AI), is a new interdisciplinary subject developed through the integration of various fields such as computer science, cybernetics, information theory, linguistics, neurophysiology, psychology, mathematics, and philosophy. Since its inception, AI has gone through many ups and downs but has finally gained recognition as an emerging discipline and has increasingly attracted interest and attention. … Read more

Overview of Multimodal Sentiment Analysis

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Overview of Multimodal Sentiment Analysis

Click on the “MLNLP” above to select the “Starred” public account Heavyweight content delivered first-hand Authors: Wu Yang, Hu Xiaoyu, Lin Zijie from Harbin Institute of Technology SCIR Introduction With the rapid development of social networks, the ways people express themselves on platforms have become increasingly rich, such as expressing their emotions and opinions through … Read more

Practical Data Mining: Automatic Identification of Electricity Theft Using LM Neural Network

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Author: Wu Xiaoyi Column Author of Python Enthusiasts Community Personal Blog: Wu Xiaoyi Zhihu Profile: Wu Xiaoyi丶 WeChat Official Account: Data Road (shuju_lu) Code and Data Acquisition Method: Follow the WeChat Official Account “Python Enthusiasts Community” and reply:Practical Mining This article is the practical part of the book “Python Data Analysis and Mining Practical”,整理分析后的复现. This … Read more

Introduction to Python Data Mining and Machine Learning (With Code and Examples)

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Introduction to Python Data Mining and Machine Learning (With Code and Examples)

Author: Wei Wei Source:Python Enthusiasts Community This article contains a total of 7800 words, and it is recommended to read for 10+ minutes. This article combines code examples to help you get started with Python data mining and machine learning techniques. This article includes five knowledge points: 1. Introduction to data mining and machine learning … Read more

What Is a Knowledge Graph? Main Applications in Various Fields

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What Is a Knowledge Graph? Main Applications in Various Fields

Celebrating the 73rd Anniversary of the Founding of the People’s Republic of China When you search for information, read the news, scroll through short videos, or shop, every piece of content that touches you may be influenced by the role of the knowledge graph. What Is a Knowledge Graph A knowledge graph is a graph-based … Read more

Overview of Large Models for Time Series and Spatio-Temporal Data

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Overview of Large Models for Time Series and Spatio-Temporal Data

This article is about 11,000 words long and is recommended to be read in over 10 minutes. This is a survey overview of large models for time series and spatio-temporal data. Time-related data, especially time series and spatio-temporal data, are ubiquitous in real-world applications. These data capture measurements of dynamic systems and are generated in … Read more

Top Ten Data Mining Algorithms

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Top Ten Data Mining Algorithms

Background: The internationally recognized academic organization the IEEE International Conference on Data Mining (ICDM) selected the top ten classic algorithms in the field of data mining in December 2006:C4.5、k-Means、SVM、Apriori、EM、PageRank、AdaBoost、kNN、Naive Bayes and CART。 Not only are the selected ten algorithms classic, but actually any of the 18 algorithms that participated in the selection can also be … Read more

Top Ten Classic Data Mining Algorithms: K-means

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Top Ten Classic Data Mining Algorithms: K-means

1 Introduction K-means and kNN may both start with ‘k’, but they are two different types of algorithms—kNN is a classification algorithm in supervised learning, while k-means is a clustering algorithm in unsupervised learning. The similarity between the two is that both utilize neighbor information to label categories. Clustering is a very important learning paradigm … Read more