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DATA MINING DAN APLIKASINYA
Data mining merupakan suatu alat yang memungkinkan para pengguna untuk mengakses secara cepat data dengan jumlah yang besar juga sebagai suatu proses ekstraksi atau penggalian data dan informasi yang besar, yang belum diketahui sebelumnya, namun dapat dipahami dan berguna dari database yang besar serta digunakan untuk membuat suatu keputusan bisnis yang sangat penting. Data mining menggambarkan sebuah pengumpulan teknik-teknik dengan tujuan untuk menemukan pola-pola yang tidak diketahui pada data yang telah dikumpulkan. Data mining memungkinkan pemakai menemukan pengetahuan dalam data dari database yang tidak mungkin diketahui keberadaannya oleh pemakai. Teknik data mining digunakan untuk me...
Sistem Pendukung Keputusan
Buku Sistem Pendukung Keputusan membahas tentang penggunaan metode diantaranya AHP, SAW, ARAS, EDAS, COPRAS, WASPAS, MOORA, TOPSIS, MOOSRA
CLUSTERING DATA ANTROPOMETRI Di Kelurahan Jumput Rejo Sukodono Sidoarjo untuk Menentukan Status Gizi Balita
Buku ini mengusung konsep pembelajaran aktif, kreatif, dan mandiri dengan memberikan pengalaman praktis melalui praktikum mengolah data penelitian dan memanfaatkan aplikasi Weka sebagai salah satu tools dalam menerapkan pembelajaran yang berkaitan dengan kajian di bidang Data Mining. Buku ini memuat langkah demi langkah bagaimana cara mengolah data penelitian dengan pendekatan Algoritma K-Means dalam mengcluster data antropometri balita di suatu wilayah untuk mendapatkan informasistatus gizi dari balita tersebut. Dari informasi gizi balita yang didapatkan, maka akan didapatkan gambaran terkait gizi balita di lingkungan setempat. Dengan memanfaatkan data tersebut, maka petugas kesehatan di wilayah setempat dalam hal ini pihak puskesmas dapat memberikan penyuluhan kepada masyarakat terkait pentingnya gizi buat balita dan perlunya menghindari bahaya gizi buruk (Stunting).
Random Forests with R
This book offers an application-oriented guide to random forests: a statistical learning method extensively used in many fields of application, thanks to its excellent predictive performance, but also to its flexibility, which places few restrictions on the nature of the data used. Indeed, random forests can be adapted to both supervised classification problems and regression problems. In addition, they allow us to consider qualitative and quantitative explanatory variables together, without pre-processing. Moreover, they can be used to process standard data for which the number of observations is higher than the number of variables, while also performing very well in the high dimensional ca...
Research Anthology on Strategies for Maintaining Successful Family Firms
Family-owned businesses account for many of the small and medium-sized enterprises that exist around the world in various industries. Due to their unique make up, these firms are often heavily influenced by family dynamics that must be reconciled by family and non-family workers alike in order to ensure the sustainability of the business. As smaller businesses competing against an increasingly globalized economy and more directly impacted by economic instability, especially in the wake of the COVID-19 pandemic, these businesses must continue to improve their practices and processes in order to not only survive but thrive. The Research Anthology on Strategies for Maintaining Successful Family...
Immunology of Infectious Diseases
An integrated view of the principal aspects of immune response to all types of infectious agents, emphasizing the immune system as a host defense system. * Illustrates how the dialogue between different types of pathogens and the host immune system, as well as the cross-talk between the different members of the immune response, works. * Serves as valuable reading for microbiologists interested in pathogenesis and immunology; clinicians with an interest in immunology, virology, vaccine development, infectious diseases, bacteriology, parasitology, pathology, and cell biology; and immunologists wanting to expand their knowledge of infectious diseases and their causative agents.
Introduction to Data Mining
Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept is explored thoroughly and supported with numerous examples. Each major topic is organized into two chapters, beginni
The Day in Shadow
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Pirok Goes to the City
Children animal tale
