# All Educational Materials for ITEC 4230 at York University (YORKU)

YORKITEC 4230Stephen ChenFall

## ITEC 4230 Study Guide - Final Guide: Gini Coefficient, Box Plot, Scatter Plot

2 Page
11 Apr 2016
Fill in missing values, smooth noisy data, identify or remove outliers, and resolve inconsistencies. Integration of multiple databases, data cubes, or
View Document
YORKITEC 4230Xiaofeng ZhouWinter

## ITEC 4230- Midterm Exam Guide - Comprehensive Notes for the exam ( 13 pages long!)

13 Page
12 Oct 2017
Data mining: extraction of interesting (non-trivial, implicit, previously unknown & potentially useful) patterns of knowledge from huge amounts of data
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YORKITEC 4230Xiaofeng ZhouWinter

## ITEC 4230 Final: ITEC 4230 Final Notes

11 Page
12 May 2017
Data mining: extraction of interesting (non-trivial, implicit, previously unknown & potentially useful) patterns of knowledge from huge amounts of data
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YORKITEC 4230Xiaofeng ZhouWinter

## ITEC 4230- Midterm Exam Guide - Comprehensive Notes for the exam ( 13 pages long!)

13 Page
12 Oct 2017
Data mining: extraction of interesting (non-trivial, implicit, previously unknown & potentially useful) patterns of knowledge from huge amounts of data
View Document
YORKITEC 4230Stephen ChenFall

## ITEC 4230 Study Guide - Final Guide: Gini Coefficient, Box Plot, Scatter Plot

2 Page
11 Apr 2016
Fill in missing values, smooth noisy data, identify or remove outliers, and resolve inconsistencies. Integration of multiple databases, data cubes, or
View Document
YORKITEC 4230Xiaofeng ZhouWinter

## ITEC 4230 Final: ITEC 4230 Final Notes

11 Page
12 May 2017
Data mining: extraction of interesting (non-trivial, implicit, previously unknown & potentially useful) patterns of knowledge from huge amounts of data
View Document
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Frequently-seen exam questions from 2014 - 2018.
YORKWinter

## ITEC 1000 Lecture Notes - Lecture 8: Customer Retention, Call Centre, Customer Service

13 Page
25 Feb 2020
True / false questions: crm systems store customer account data in multiple specialized databases and then make it available throughout a company via i
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YORKWinter

2 Page
25 Feb 2020
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YORKWinter

## ITEC 2600 Quiz: ITEC2600 Exercise 2

1 Page
25 Feb 2020
Lab exercise 2: redo all examples from class, create anonymous functions for the following math functions, where input argument(s) x or y can be a vect
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YORKWinter

## ITEC 2600 Study Guide - Quiz Guide: Row And Column Vectors, Matlab, Exclusive Or

3 Page
25 Feb 2020
Lab exercise 1: explain what the following matlab commands produce, then excute the following expressions in. 10 > 5 + 2 (10 > 5) + 2. "c"== "d"- 1 ||
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YORKWinter

## ITEC 2600 Study Guide - Quiz Guide: Cartesian Coordinate System, Matlab

2 Page
25 Feb 2020
Re-write nding largest and smallest number as user-de ned function. Re-write a matlab script le to implement above by calling your function: generate a
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YORKWinter

## ITEC 2600 Study Guide - Quiz Guide: Ellipse

2 Page
25 Feb 2020
The remaining loan balance, b, of a xed payment n years mortgage after x years is given by: 12 )12x] where l is the loan amount, and r is the annual in
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YORKWinter

## ITEC 1000 Lecture Notes - Lecture 4: Ebcdic, Extended Ascii, Pcx

12 Page
25 Feb 2020
Chapter 4 data formats: input from a device that represents a continuous range of data is known as, metadata, analog data, various data , discrete data
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YORKWinter

## ITEC 2600 Study Guide - Quiz Guide: Matlab

1 Page
25 Feb 2020
Lab exercise 5: pratice debugging techniques in the following questions, redo all examples from the lecture, write a user-de ned function to calculate
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YORKWinter

1 Page
25 Feb 2020
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YORKWinter

## ITEC 2600 Study Guide - Quiz Guide: Binary Search Algorithm

1 Page
25 Feb 2020
Lab exercise 6: redo all examples from the lecture, generate vectors v1, v2, v3 and v4 that contain 100, 1000, 10000, 100000 random integers ranging be
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YORKITEC 4230Xiaofeng ZhouWinter

## ITEC 4230- Midterm Exam Guide - Comprehensive Notes for the exam ( 13 pages long!)

13 Page
12 Oct 2017
Data mining: extraction of interesting (non-trivial, implicit, previously unknown & potentially useful) patterns of knowledge from huge amounts of data
View Document
YORKITEC 4230Xiaofeng ZhouWinter

## ITEC 4230 Final: ITEC 4230 Final Notes

11 Page
12 May 2017
Data mining: extraction of interesting (non-trivial, implicit, previously unknown & potentially useful) patterns of knowledge from huge amounts of data
View Document
YORKITEC 4230Stephen ChenFall

## ITEC 4230 Study Guide - Final Guide: Gini Coefficient, Box Plot, Scatter Plot

2 Page
11 Apr 2016
Fill in missing values, smooth noisy data, identify or remove outliers, and resolve inconsistencies. Integration of multiple databases, data cubes, or
View Document

## Most Recent

YORKITEC 4230Xiaofeng ZhouWinter

## ITEC 4230- Midterm Exam Guide - Comprehensive Notes for the exam ( 13 pages long!)

13 Page
12 Oct 2017
Data mining: extraction of interesting (non-trivial, implicit, previously unknown & potentially useful) patterns of knowledge from huge amounts of data
View Document
YORKITEC 4230Xiaofeng ZhouWinter

## ITEC 4230 Final: ITEC 4230 Final Notes

11 Page
12 May 2017
Data mining: extraction of interesting (non-trivial, implicit, previously unknown & potentially useful) patterns of knowledge from huge amounts of data
View Document
YORKITEC 4230Stephen ChenFall

## ITEC 4230 Study Guide - Final Guide: Gini Coefficient, Box Plot, Scatter Plot

2 Page
11 Apr 2016
Fill in missing values, smooth noisy data, identify or remove outliers, and resolve inconsistencies. Integration of multiple databases, data cubes, or
View Document

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