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Mindmap

Used Car value estimation using Data Analytics

Firahm Afandi Englisch

Inhalt der Mindmap

Used Car value estimation using Data Analytics

  1. Methods

    • Sentiment Analysis
      • Data preprocessing
        • Unstructured data
          • Tokenization
          • Stemming
          • Stop word removal
        • Structured data
          • Training
          • Testing
      • Scrapping data
        • Platform
          • Mudah.com
          • Youtube
          • Carbase
        • Techniques
          • Text analysis
          • Audio analysis
          • Predictive analysis
      • Approach
        • Lexicon based
          • Classification polarity
            • Positive
            • Negative
    • Machine learning
      • Techniques
        • Multiple linear Regression
  2. Previous Research

    • Factors affecting used car prices
    • How to increase sale for second hand car
    • Impact on regression method on forecast resale prices of used car
  3. Motivation

    • To help dealer to analyse the customer review on the car significant features from media
    • To help dealer to reduce the inventory cost of the used car
    • To help dealer to increase the sale for used car based on the significant features of the car
    • To help new drive or anyone who just learn to buy used car that commonly lack of knowledge on used car price and their characteristics
  4. Theoritical Framework

    • Premilinary study
      • Used website such as www.paultan to dig knowledge and get deeper understand ing
    • Knowledge Acquisition
    • Development
      • System that can help user to buy used car
  5. Used Car

    • Types of car
      • Continental car
        • BMW
        • Mercedes Benz
      • Local Car
        • Perodua
        • Proton
      • Other Asian car
        • Honda
        • Toyota
        • Hyundai
    • Variables of car
      • Car brand
      • Model
      • Year Manufactured
      • Engine capacity
      • Variant (Series)

Informationen

Beschreibung
Mindmap am Used Car value estimation using Data Analytics, erstellt von Firahm Afandi am 09/10/2019.
Erstellt von
Firahm Afandi
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