Tugas Data Mining

Data Mining

Pengertian Data Mining

• Data mining merupakan suatu proses untuk menemukan suatu pola dan kecenderungan dengan melakukan pemeriksaan yang berada di sekumpulan data besar dengan menggunakan pola teknik statik dan matematika.

        Sumber : https://bit.ly/3KoOHvK

• Data mining adalah proses pencarian pola atau informasi didalam suatu data menggunakan teknik atau metode tertentu.

        Sumber : https://bit.ly/34slKzZ

• Data mining adalah adalah proses pemisahan atau pengolahan dari sekumpulan data yang banyak menggunakan algoritma dan teknik statistik.

        Sumber : https://bit.ly/3MyYzFb

• Data mining is the extraction of implicit, previously unknown, and potentially useful information from data. Strong patterns, if found, will likely generalize to make accurate predictions on future data.

         Sumber : https://machinelearningmastery.com/what-is-data-mining-and-kdd/

• Data mining is a logical process that is used to search through large amount of data in order to find useful data.

        Sumber : https://bit.ly/3pMo8bZ

• Data mining is a process of searching for discovering various types of text graphic patterns in large amounts of textual or mixed visual and textual data sets, that also involves methods at the intersection of machine learning, formal linguistics analyses as textual statistics, and database systems.

        Sumber : https://en.m.wikipedia.org/wiki/Data_mining

Kesimpulan :

Data mining adalah proses penemuan pola yang menarik dari suatu informasi yang disimpan dalam jumlah banyak dianalisa secara otomatis dan semiotomatis dan nanti nya menjadi pengetahuan yang bermanfaat.

Contoh implementasi data mining pada saat ini :

1. Asuransi 

Penggunaan data mining diterapkan di perusahaan asuransi. Perusahaan tersebut menggunakan data mining untuk layanan kesehatan.

2. Keuangan

Jaringan penegakan kejahatan finansial yang ada di Amerika Serikat menggunakan data mining untuk mengumpulkan triliyunan subyek seperti rekening bank, properti hingga transaksi keuangan lainnya yang digunakan untuk mendeteksi keuangan yang menarik.

3. Telekomunikasi

Penerapan data mining dilakukan diperusahaan telekomunikasi untuk melihat banyak transaksi yang masuk, bertujuan untuk menyortir mana saja transaksi yang harus ditangani secara manual.

Data Mining Implementation

A Testing of Case-Base Reasoning for Covid-19 Patient Status Confirmation

The CBR method is a method that can be used as a method to develop this research at the data test stage. Why is this method in the language in this simulation, namely bow this method works, namely taking data that has existed before, while to diagnose COVID-19 patients, a doctor must know the history of the patient, namely travel history and disease history. Case-based reasoning is a method that works from the activities that have been done before, but this method needs predefined basic data. The method will compare the existing data with the current fact.

When there is any similarity between the data, then the algorithm will set it into the existing group. But if there is no congruity found in common with the previous data, then it will be saved as new cases or new rules. In testing the method, not only case-based reasoning but also data grouping based on the same data using the nearest neighbor algorithm.

in determining patient status, a combination of CBR and K-NN methods can be implemented based on the existing case. Based on the simulations, combining the two methods can identify the patient and determine the status, so the further action can be taken immediately.