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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
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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
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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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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

ITEC 2600 Study Guide - Quiz Guide: Underweight, Moodle

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

ITEC 2600 Study Guide - Quiz Guide: Pie Chart, Matlab

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

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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

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