Data Mining | BestHub

Python Programming Learning Circle

Jan 2, 2025 · Artificial Intelligence

A Comprehensive Guide to Dimensionality Reduction Algorithms with Python Implementations

This article introduces eleven classic dimensionality reduction techniques—including PCA, LDA, MDS, LLE, and t‑SNE—explains their principles, advantages, and limitations, and provides complete Python code examples and resources for each method, making it a valuable guide for beginners in machine learning and data mining.

Data MiningPCAPython

0 likes · 17 min read

A Comprehensive Guide to Dimensionality Reduction Algorithms with Python Implementations

AntTech

Sep 5, 2024 · Artificial Intelligence

Ant InTech Technology Award Announces First Ten Young Scholars and Their Research Areas

On September 5 at the 2024 Inclusion·Bund Conference, Ant InTech announced its first ten award-winning young scholars from top Chinese universities, highlighting their research in artificial intelligence, data processing, cloud computing, security, and related fields, each receiving a 200,000‑RMB grant.

Ant GroupArtificial IntelligenceData Mining

0 likes · 4 min read

Ant InTech Technology Award Announces First Ten Young Scholars and Their Research Areas

AntTech

Aug 28, 2024 · Artificial Intelligence

Ant Group’s Selected Papers at KDD2024: Abstracts and Highlights

The article presents a curated collection of Ant Group's research papers accepted at KDD2024, summarizing each paper's title, type, link, source, relevant fields, and abstract, covering topics such as graph mining, large language models, fraud detection, recommendation systems, and multimodal medical AI.

AI researchAnt GroupData Mining

0 likes · 31 min read

Ant Group’s Selected Papers at KDD2024: Abstracts and Highlights

Tencent Cloud Developer

Jul 4, 2024 · Artificial Intelligence

Football Match Outcome Prediction and Betting Strategy Using Machine Learning

The study combines team statistics and bookmaker odds with machine‑learning models—including Poisson, regression, Bayesian, SVM, Random Forest, DNN, and LSTM—to predict football match outcomes, identify confidence‑based betting intervals that yield profit, and suggests extensions to broader data, features, and financial trading.

Data MiningSVMfootball prediction

0 likes · 23 min read

Football Match Outcome Prediction and Betting Strategy Using Machine Learning

Qunar Tech Salon

Jul 2, 2024 · Artificial Intelligence

Comprehensive Attribution Analysis Methodology and Its Business Application

This article presents a detailed attribution analysis framework—including background research, a four‑step workflow, Bayesian causal detection, Simpson's paradox handling, and real‑world case studies—demonstrating how data‑driven insights can improve conversion rates and operational efficiency across multiple business lines.

Attribution AnalysisBayesian NetworkData Mining

0 likes · 15 min read

Comprehensive Attribution Analysis Methodology and Its Business Application

Python Programming Learning Circle

Jun 21, 2024 · Artificial Intelligence

Using scikit-learn for Data Mining: Feature Engineering, Parallel Processing, Pipelines, and Model Persistence

This article demonstrates how to perform data mining with scikit-learn by detailing the full workflow—from data acquisition and feature engineering, through parallel and pipeline processing, to automated hyper‑parameter tuning and model persistence—using the Iris dataset as an example.

Data MiningFeature EngineeringParallel Processing

0 likes · 13 min read

DataFunSummit

Jun 2, 2024 · Artificial Intelligence

Construction and Application of a User Profile Tag System: Methods, Platforms, and Use Cases

This article presents a comprehensive overview of building a user profile tag system—including tag taxonomy, platform architecture, construction methods, update cycles, access patterns, common algorithmic tags, and real‑world applications such as marketing, metric attribution, and A/B testing—illustrated with examples and a detailed Q&A session from a data‑mining senior manager at Qunar.

AB testingData MiningTag System

0 likes · 21 min read

Model Perspective

May 13, 2024 · Fundamentals

How to Identify and Quantify Core Variables for Better Decision‑Making

The article explains why pinpointing core variables is crucial, outlines domain‑knowledge and technical methods such as sensitivity analysis and data mining to discover them, and describes practical ways to turn those variables into quantitative indicators like scoring systems, composite indices, and real‑world examples.

Data Miningcore variablesdecision making

0 likes · 10 min read

How to Identify and Quantify Core Variables for Better Decision‑Making

DataFunTalk

Mar 6, 2024 · Artificial Intelligence

Construction and Practical Application of a User Profile Tagging System

This article details the design, integration, and operational practices of a comprehensive user and item profiling tag system, covering tag taxonomy, construction methods, update cycles, access strategies, algorithmic implementations, and real‑world applications such as marketing, attribution analysis, and A/B testing.

AB testingData MiningTagging System

0 likes · 20 min read

Test Development Learning Exchange

Jan 26, 2024 · Artificial Intelligence

Data Mining Techniques for Marketing: Customer Segmentation, Purchase Prediction, Recommendation, and More with Python

This article introduces ten data‑mining applications for marketing—including customer segmentation, purchase forecasting, market‑basket analysis, churn prediction, sentiment analysis, response modeling, recommendation systems, brand reputation, competitive analysis, and public‑opinion monitoring—each illustrated with concise Python code examples.

Data MiningPythoncustomer-segmentation

0 likes · 11 min read

Data Mining Techniques for Marketing: Customer Segmentation, Purchase Prediction, Recommendation, and More with Python

Test Development Learning Exchange

Jan 7, 2024 · Big Data

Association Rule Mining Applications Across Various Business Scenarios with Python Code

This article demonstrates how to apply the Apriori algorithm and association rule mining using Python's mlxtend library across ten real‑world business scenarios, providing step‑by‑step code examples for retail, e‑commerce, marketing, healthcare, security, CRM, social networks, travel, market basket, and online advertising.

Big DataData Miningapriori

0 likes · 9 min read

Association Rule Mining Applications Across Various Business Scenarios with Python Code

DataFunSummit

Dec 20, 2023 · Artificial Intelligence

Building and Applying an Image Tagging System: Architecture, Tag Design, Algorithms, and Business Use Cases

This presentation by senior data mining manager Zhou Yuanwei of Qunar outlines the architecture of an image tagging platform, the construction of a comprehensive tagging system, common algorithmic tags, and real-world applications such as look‑alike marketing, A/B test efficiency analysis, and business attribution, helping audiences understand tag types, design considerations, and value‑driven use cases.

AB testingData Miningbusiness analytics

0 likes · 2 min read

Building and Applying an Image Tagging System: Architecture, Tag Design, Algorithms, and Business Use Cases

DataFunSummit

Aug 9, 2023 · Artificial Intelligence

Applying Graph Intelligence to Anti-Money Laundering: Business Background, Process, and Case Study

This article presents Fabarta's application of graph‑based artificial intelligence to anti‑money‑laundering, detailing the business challenges, a five‑step analytical workflow, a synthetic data case study, and a Q&A that explores practical deployment and future directions.

Case StudyData Mininganti-money laundering

0 likes · 18 min read

Applying Graph Intelligence to Anti-Money Laundering: Business Background, Process, and Case Study

DataFunTalk

Jul 24, 2023 · Artificial Intelligence

Session Analytics: User Path Analysis, Data Processing, and Algorithm Mining

This article introduces user path analysis and the SessionAnalytics open‑source framework, covering business scenarios, technical architecture, data integration, session segmentation, data cleaning, sampling, graph structures, NLP‑based mining, clustering, and visualization techniques for extracting insights from large‑scale user behavior data.

Big DataData MiningNLP

0 likes · 19 min read

Session Analytics: User Path Analysis, Data Processing, and Algorithm Mining

Baidu Intelligent Testing

Oct 19, 2022 · Artificial Intelligence

Intelligent Test Evaluation: Risk Dimension Mining, Admission Assessment, Multi‑Dimensional Activity Data Mining, and Model‑Based Risk Evaluation

This article presents an end‑to‑end intelligent testing framework that mines development‑stage risk dimensions, conducts admission risk assessment, extracts multi‑dimensional activity data such as coverage metrics, and applies model‑based risk evaluation to guide quality‑assurance decisions and improve release safety.

Artificial IntelligenceData MiningRisk Assessment

0 likes · 11 min read

Intelligent Test Evaluation: Risk Dimension Mining, Admission Assessment, Multi‑Dimensional Activity Data Mining, and Model‑Based Risk Evaluation

Baidu Geek Talk

Oct 18, 2022 · Artificial Intelligence

Intelligent Test Evaluation and Risk Assessment in Software Quality Assurance

The article describes an intelligent test‑evaluation framework that gathers performance data, quantifies project, personnel, and code risk dimensions, feeds them into rule‑based and logistic‑regression models to produce risk scores and risk‑driven testing plans, and demonstrates how this approach identified thousands of high‑risk projects, prevented hundreds of bugs, and saved thousands of person‑days.

Data MiningRisk Assessmentmachine learning

0 likes · 9 min read

Intelligent Test Evaluation and Risk Assessment in Software Quality Assurance

Model Perspective

Sep 4, 2022 · Fundamentals

Grey Relational Analysis: A Powerful Tool for Comprehensive Evaluation

The article explains the principles of grey system theory, introduces grey relational analysis as a method for handling sparse information, outlines its mathematical foundations, step‑by‑step modeling process, and demonstrates how the grey comprehensive evaluation method can rank and compare multiple alternatives without requiring large sample sizes or strict statistical assumptions.

Data Miningcomprehensive evaluationgrey-system

0 likes · 14 min read

Grey Relational Analysis: A Powerful Tool for Comprehensive Evaluation

Model Perspective

Jun 17, 2022 · Artificial Intelligence

What Is Classification in Data Mining? Types, Models, and Key Applications

The article explains classification as a data‑analysis task that builds models to assign new observations to predefined categories, outlines its implementation steps, describes various data types (boolean, nominal, ordinal, continuous, discrete), presents common machine‑learning classifiers such as decision trees and neural networks, and highlights practical applications like crime detection, disease risk prediction, and credit assessment.

Data Miningclassificationmachine learning

0 likes · 5 min read

What Is Classification in Data Mining? Types, Models, and Key Applications

Python Programming Learning Circle

Apr 14, 2022 · Artificial Intelligence

Top Clustering Algorithms in Python with scikit-learn: A Comprehensive Tutorial

This tutorial explains clustering as an unsupervised learning task, outlines why no single algorithm fits all data, and provides step‑by‑step Python code using scikit‑learn to install the library, generate synthetic datasets, and apply ten popular clustering algorithms with visualizations.

ClusteringData Miningmachine learning

0 likes · 21 min read

Top Clustering Algorithms in Python with scikit-learn: A Comprehensive Tutorial

DataFunTalk

Mar 18, 2022 · Artificial Intelligence

Alternative Data Mining: From 19th‑Century Cholera Mapping to Modern AI‑Driven Risk Modeling

This talk reviews the concept of alternative data, illustrates its early use in John Snow's cholera map, explores contemporary AI‑powered systems such as IBM's Debater and satellite‑based poverty estimation, and presents the speaker's own research on using unconventional data for financial‑market risk detection and prediction.

Artificial IntelligenceData Miningalternative data

0 likes · 14 min read

Alternative Data Mining: From 19th‑Century Cholera Mapping to Modern AI‑Driven Risk Modeling