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데이터 시각화(으)로 돌아가기

데이터 시각화, 일리노이대학교 어버너-섐페인캠퍼스

756개의 평가
174개의 리뷰

About this Course

Learn the general concepts of data mining along with basic methodologies and applications. Then dive into one subfield in data mining: pattern discovery. Learn in-depth concepts, methods, and applications of pattern discovery in data mining. We will also introduce methods for pattern-based classification and some interesting applications of pattern discovery. This course provides you the opportunity to learn skills and content to practice and engage in scalable pattern discovery methods on massive transactional data, discuss pattern evaluation measures, and study methods for mining diverse kinds of patterns, sequential patterns, and sub-graph patterns....

최상위 리뷰

대학: MK

Apr 06, 2018

Good course, very well structured and with interesting assignments. Some (especially first) lessons are more of a general culture but most are very helpful and allow to learn a lot of things.

대학: JM

Jun 04, 2016

I found the class to be very informative. The assignments on creating charts and graphs for large data sets were practical and helped me understand the concepts taught in the course.

필터링 기준:

169개의 리뷰

대학: To Phung Huy

May 03, 2019

Some interesting visualization concepts

대학: Павлов Юрий Андреевич

Apr 17, 2019


대학: Hamreet singh

Mar 29, 2019


대학: Shuo Jiang

Mar 23, 2019

some assignments are boring. but in general, its good


Mar 07, 2019

Very good knowledge on visualization. Never though these many indepth concepts are involved in visualizations.

대학: Brandi Rose

Feb 25, 2019

Interesting course for getting started with complex graphing principles. The instructor was easy to follo

대학: Morla Mohan Sai

Feb 25, 2019

Good course

대학: Юхновский Илья Александрович

Feb 17, 2019

I like it! Very useful!

대학: liz arnold

Feb 11, 2019

it is good.,

대학: Marco Bonvini

Feb 06, 2019

Very useful course for beginners.

Pdf of the slides not available

Low interaction with other students, mentor answering the forum a bit bizarre