#data-mining

Yoğunluk Tabanlı Kümeleme (Density-Based Clustering)

Makine Öğrenimi Çeşitleri

Turning “Historical” Documents Into Searchable Data with R

Here I turn scanned newspaper PDFs into searchable text and run lightweight thematic analysis

Pohon Ini Tahu Tentang Diabetes Lebih Banyak Daripada yang Saya Kira

Saya pikir ini cuma latihan sederhana memakai algoritma klasifikasi. Yang saya temukan justru lebih dalam dari itu.

Ensemble Methods dalam Klasifikasi: Ketika “Dua Kepala” Benar-Benar Lebih Baik dari Satu

Ada pepatah lama yang mengatakan “dua kepala lebih baik dari satu”. Menariknya, prinsip ini juga berlaku dalam dunia data mining dan…

Mengungkap Alasan Mengapa Pelanggan Pergi: Pendekatan Machine Learning untuk Strategi Retensi Telco

Dari Data Mentah Menjadi Strategi Bisnis: Bagaimana Algoritma Random Forest Membantu Perusahaan Telekomunikasi Mencegah Customer Churn.

Penerapan Data Mining untuk Prediksi Customer Churn Menggunakan Metode Naive Bayes dan Decision…

Pendahuluan

Unlock Business Growth with High-Quality Targeted Leads

📞 +92 329–4697–703 📧 info@extracthelp.com 🌐 www.extracthelp.com

Mengenal Pelangganmu Lebih Dalam: Bagaimana K-Means dan RFM Mengungkap Tiga Wajah Pembeli Online

Kamu punya ribuan pelanggan. Tapi berapa banyak yang benar-benar kamu kenal?

Build Better Outreach Campaigns with Verified Leads

Take your business growth to the next level with reliable and targeted data solutions from Extract Help. We specialize in Google My…

Why Cheap Stocks Fail, and How Supply Chain Graph Analysis Fixes It

🚀 Reliable Data Scraping Services for Startups and Agencies

We help businesses collect accurate, structured, and high-quality data through advanced web scraping, lead enrichment, email verification…

WEKA-Perangkat untuk Data Scientist

Aplikasi Weka dapat di unduh melalui link berikut: https://waikato.github.io/weka-wiki/downloading_weka/

Outlier Detection Using Euclidean Distance

A step-by-step walkthrough of how distance-based methods reveal anomalies hiding in multidimensional data.

Distance dan Similarity di Machine Learning: Kapan Pakai Euclidean, Jaccard, atau Cosine?

Sebelum kita bisa mengelompokkan data, menemukan anomali, atau membuat rekomendasi, kita perlu menjawab satu pertanyaan sederhana, seberapa…

Data Warehouse Security & Access Control System

Ensuring Secure Data Access in Modern Analytics

Segmentasi Pelanggan Toko Retail: Mengubah Data Transaksi Menjadi Strategi Bisnis dengan K-Means

Pernah kepikiran gak, kenapa toko retail besar bisa tahu siapa pelanggan loyal mereka dan siapa yang cuma beli pas ada promo? Jawabannya…

ISO Certifications for Data Mining Software Services, Requirements and Benefits

Introduction

Expand Digital Marketing Reach and Efficiency with Data Mining Services

The key difference between digital marketing initiatives that work out and marketing programs that waste resources often comes down to one…

How Amazon Knows What You’ll Buy Next: A Simple Guide to Frequent Pattern Mining

Introduction

🛒 Market Basket Analysis using Apriori Algorithm

How supermarkets and e-commerce platforms predict what you will buy next

Understanding Clustering in Data Mining (K-Means Algorithm)

Introduction

K-Means Clustering: How Machines Learn to Group Data

A beginner-friendly guide to understanding clustering in data mining

Data mining and data profiling are not the same thing.

Confusing them is costing you

Difference Between Big Data and Data Mining

A shopping app can record every click, search, and checkout in a day, that flood of records is big data. Data mining is different, it’s the…

Makine Öğrenmesini Kod Yazmadan Deneyimlemek: Weka Rehberi

Makine öğrenmesini kod yazmadan deneyimlemek mümkün mü?

Veri Madenciliği ve ML neden farklıdır ?

Veri madenciliği, büyük ve karmaşık veri yığınlarının içinden işe yarar ve anlamlı bilgileri ortaya çıkarma sürecidir. Bunu bir maden…

From Raw Logs to Real Insights: A Case Study in Scalable Data Mining

Introduction

Systematic Data Mining Approach to Alzheimer’s Disease Classification: A Longitudinal CSF Biomarker…

This technical case study presents a systematic data mining framework for Alzheimer’s Disease (AD) classification using cerebrospinal fluid…

AutoChord: A Simple Data Mining Case Study in Automatic Chord Recognition

I was looking around for some real examples of data mining projects, and I found this short demo paper called “AutoChord: Automatic Chord…

Outsourcing Data Mining Services: A Complete Guide for Businesses in 2025

In today’s digital world, every business — small or large — is generating enormous amounts of data. This data holds valuable insights…

Analisis Forecasting— “Seni dan Ilmu Memprediksi: Kajian Teoretis dan Praktis Analisis Forecasting”…

Forecasting merupakan disiplin yang memadukan pendekatan ilmiah dan pertimbangan intuitif untuk memperkirakan kondisi di masa mendatang…

Data Mining — Week 1

Introduction to Data Mining

From Raw Data to Real Insights: Demystifying the KDD Process

A beginner-friendly walkthrough of the Knowledge Discovery in Databases (KDD) process — from data cleaning to pattern evaluation —…

Discovering Customer Churn Patterns with KDD: A Data Mining Case Study

1️⃣ Introduction

Discovering House Price Drivers with the KDD Process

This project uses the Knowledge Discovery in Databases (KDD) methodology to analyze the Ames Housing dataset. The goal is not just to build…

From Chat to Classification: A KDD Mini-Demo on Breast Cancer (WDBC)

Author: Shreram Palanisamy  Stack: Python · pandas · scikit-learn · Matplotlib  Assistant: ChatGPT (GPT-5 Thinking)  Dataset: Breast…

🚀 I Built a Spam Detection Model That Reads Texts Better Than You (Using KDD Methodology)

“Machine learning doesn’t just read words — it understands intent.”

KDD e DATA MINING

Saiba as diferenças e quando utilizar.

Discovering Hidden Causality: My Journey Using Python to Move Beyond Correlation in Data Science

How I applied causal inference to uncover the “why” behind data patterns, using DoWhy, EconML, and real-world experiments.

SQL for Data Mining: Discovering Patterns in Datasets

How I used SQL to turn raw data into actionable insights.

Decoding Support, Confidence, and Lift:

A Grocery Store Story

Apriori Meets Hash Trees:

Making Candidate Checking Fast

Veri Madenciliği: Büyük Veriden Anlam Çıkarmak

. Ham veri yığınları içinden anlamlı bilgi ve öngörü…

Personalização em escala: Conheça a plataforma de recomendação do PicPay

Imagine abrir o app do seu banco e encontrar exatamente o que precisa, antes mesmo de procurar. No PicPay, isso acontece com a ajuda da…

วิเคราะห์พฤติกรรมลูกค้าด้วย Association Rules แบบ Step-by-Step ด้วย Python

การเข้าใจพฤติกรรมของลูกค้าไม่ใช่แค่เรื่องของสัญชาตญาณหรือความรู้สึกอีกต่อไป ในยุคที่ธุรกิจมีข้อมูลมากมาย การใช้ เทคนิควิเคราะห์ข้อมูล (Data…

วิเคราะห์ตะกร้าสินค้า อ่านใจลูกค้าแบบง่ายๆ ด้วย Market Basket Analysis (MBA)

ทุกคนอาจจะเคยไปซื้อของในร้านสะดวกซื้อ แล้วเจอโปรโมชั่นประมาณว่า “ซื้อขนมปังแถมนม” หรือไม่ก็เห็นว่าสินค้าบางอย่างมักวางไว้ติดกันเสมอ เช่น…

Scientific Community Building through Workshops: the NPLinker eScience experience

A blog post by Wageningen University & Research Assistant Professor Justin van der Hooft

Comprehensive Guide to Data Preprocessing in WEKA Using Student

Data preprocessing is a crucial step in any data analysis pipeline. It ensures that the dataset is clean, consistent, and suitable for…

Unlocking Business Insights from Financial Data

Authors: Nikunj Bajaj, Anirudh Devarakonda

I will do web scrape, data mining, email extraction and b2b leads

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