+962 5 3903333
Contact us
Phones Directory
Academic Calendar
العربية
Department of Information Technology
Home
About
Welcome
Vision & Mission
Objectives
Chairman Message
Committees
Contact Us
Programs
Undergraduate Programs
Bachelor of Business Information Technology(BIT)
Overview
Vision & Mission
Learning Outcomes
Study Plans and Hours Fees
Academic Advising
Accreditation
Employability
Advisory Plan
Tree Plan
Alumni
Bachelor of Data Science and Artificial Intelligence
Overview
Vision and Mission
Learning Outcomes
Study Plans and Hours Fees
Academic Advising
Accreditation
Employability
Advisory Plan
Tree Plan
Alumni
Bachelor of Cyber Security
Overview
Vision & Mission
Learning Outcomes
Study Plans and Hours Fees
Academic Advising
Accreditation
Employability
Advisory Plan
Tree Plan
Alumni
Postgraduate Programs
Courses
Course Description
Course Description - Bachelor
Courses List
Courses- Bachelor
Staff
Faculty list
Administrative
Research & Facilities
Research Interests
List of Publications
Graduation Projects
Tracks
Topics and Groups
Projects Defense Schedule
Documentation Template
Facilities
Laboratories
Auditoriums
Classrooms
Other Facilities
More
Announcements
Activities
Achievements
Course Details
Course Details
Course No.
:
2010042312
Course Name
:
Data Mining
Prerequisite
:
151002240
Credit
:
3
Theory credit
:
3
Practical Credit
:
0
Course Discription
:
Data mining is concerned with the extraction of novel knowledge from large amounts of data. This course introduces and studies the concepts, issues, tasks and techniques of data mining. Topics include data preparation and feature selection, association rules, classification, clustering, evaluation and validation, scalability, spatial and sequence mining, and data mining applications. The practical side of this course will introduce students to learn and use the open-source Weka data mining tool.
Syllabus
:
Download
The Course offering during the Second Semester-2023/2024
Section NO
Theory Section
Teacher
Time & Location
1
0
DR ZAHER IBRAHIM SALEH SALAH
09,30 - 10,30 ح ث خ / المادة تدرس بشكل مدمج في مبنى الهندسة هـ2002 / على منصة(مايكروسوفت teams)