Informasi Umum

Kode

18.04.1083

Klasifikasi

006.312 - Data mining

Jenis

Karya Ilmiah - Skripsi (S1) - Reference

Subjek

Data Mining

Dilihat

195 kali

Informasi Lainnya

Abstraksi

Data mining in general is the search for hidden patterns that may exist in large databases. Spatial data mining in particular is the discovery of interesting relationships and characteristics that may exist implicity in spatial database[1]. One of algorithm in data mining is Naive Bayes that can use to predict location's prices enhancement by classifying previous data. Land prices has increase up to 10 times after 19 years. In this final project, author build a system that can predict which location that the price has increase and which is constant. By using NJOP and data from google maps, land prices can be predictable wether increase or not after use previos data as a training data. After the research obtained that the system can predict which location is incrasing and not increasing. The accuracy of this system reach 81%, while its precision reach 81%, recall 74,3%, and f1 - score 72,4%.

  • CSH453 - BASIS DATA SPASIAL
  • CDG4K3 - DATA MINING

Koleksi & Sirkulasi

Seluruh 1 koleksi sedang dipinjam

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Pengarang

Nama MUHAMMAD HAIDAR DZAKY
Jenis Perorangan
Penyunting Kiki Maulana Adhinugraha, Ibnu Asror
Penerjemah

Penerbit

Nama Universitas Telkom
Kota Bandung
Tahun 2018

Sirkulasi

Harga sewa IDR 0,00
Denda harian IDR 0,00
Jenis Non-Sirkulasi