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Euclidean distance based clustering - PowerPoint PPT Presentation

DATA MINING Introductory

DATA MINING Introductory

DATA MINING Introductory. Dr. Mohammed Alhaddad Collage of Information Technology King AbdulAziz University CS483. Data Mining Outline. PART I Introduction Related Concepts Data Mining Techniques PART II Classification Clustering Association Rules PART III Web Mining Spatial Mining

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630 views • 39 slides
Data Mining: Introduction

Data Mining: Introduction

Data Mining: Introduction. Lecture Notes for Chapter 1 Introduction to Data Mining by Minqi Zhou Room: Math Building 111 (East) Tel:021-32204750-167 Mail:mqzhou@sei.ecnu.edu.cn. Slides. http://minqizhou.wordpress.com/teaching/. Why Mine Data? Commercial Viewpoint.

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489 views • 32 slides
Data Mining: Introduction

Data Mining: Introduction

Data Mining: Introduction. Lecture Notes for Chapter 1 Introduction to Data Mining by Tan, Steinbach, Kumar. Why Mine Data? Commercial Viewpoint. Lots of data is being collected and warehoused Web data, e-commerce purchases at department/ grocery stores Bank/Credit Card transactions

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435 views • 32 slides
Data Mining: Introduction

Data Mining: Introduction

Data Mining: Introduction. Lecture Notes for Chapter 1. Why Mine Data? Commercial Viewpoint. Lots of data is being collected and warehoused Web data, e-commerce purchases at department/ grocery stores Bank/Credit Card transactions Computers have become cheaper and more powerful

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376 views • 31 slides
Data Mining: Introduction

Data Mining: Introduction

Data Mining: Introduction. Lecture Notes for Chapter 1 Introduction to Data Mining by Tan, Steinbach, Kumar. Why Mine Data? Commercial Viewpoint. Lots of data is being collected and warehoused Web data, e-commerce purchases at department/ grocery stores Bank/Credit Card transactions

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315 views • 31 slides
Data Mining: Introduction

Data Mining: Introduction

Data Mining: Introduction. Lecture Notes for Chapter 1 Introduction to Data Mining by Tan, Steinbach, Kumar. Why Mine Data? Commercial Viewpoint. Lots of data is being collected and warehoused Web data, e-commerce purchases at department/ grocery stores Bank/Credit Card transactions

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367 views • 27 slides

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