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TMI4013 - DATA MINING/PERLOMBONGAN DATA

Last modified by Adam Francis on 2015/04/15 10:58

COURSE TITLE

DATA MINING (Perlombongan Data)

COURSE CODE

TMI4013

SYNOPSIS

Data Mining studies algorithms and computational paradigms that allow computers to find patterns and regularities in databases, perform prediction and forecasting, and generally improve their performance through interaction with data. It is currently regarded as the key element of a more general process called Knowledge Discovery that deals with extracting useful knowledge from raw data. The knowledge discovery process includes data selection, cleaning, coding, using different statistical methods, pattern recognition and machine learning techniques, and reporting and visualization of the generated structures. This course is an introduction to the concepts, techniques, applications and systems of data warehousing and data mining, including on-line analytical processing (OLAP) systems.

(Perlombongan data mengkaji algoritma dan paradigma komputan yang membolehkan komputer mencari corak-corak dan kekerapan dalam pangkalan data, menjalankan anggaran dan ramalan serta secra amnya, meningkatkan prestasi melalui interaksi dengan data. Pada masa kini, ia dianggap sebagai kunci elemen bagi proses am yang dikenali sebagai Penemuan Pengetahuan yang berurusan dalam mengekstrak pengetahuan yang berguna dalam data mentah. Proses Penemuan Pengetahuan ini meliputi pemilihan data, membersihkan, mengekod, menggunakan kaedah-kaedah statistikal yang berbeza, pengenalpastian corak, teknik-teknik pembelajaran mesin, melapor dan visualisasi struktur yang telah dihasilkan. Kursus ini adalah pengenalan kepada konsep, teknik, aplikasi dan sistem dalam penggudangan dan perlombongan data, juga termasuk sistem on-line analytical processing (OLAP).)

Faculty of Computer Science and Information Technology, UNIMAS. Last updated: March 30, 2012, Fri, 7:53 PM

Created by Adam Francis on 2015/04/15 10:57

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