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Data Mining: Introduction

Lecture Note !or "ha#ter 1

Introduction to Data Miningb$

Tan, Steinbach, Kumar

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Lot o! data i being co%%ectedand &arehou ed ' (eb data, e)commerce ' #urcha e at de#artment/

grocer$ tore ' *an+/"redit "ard

tran action

"om#uter ha e become chea#er and more #o&er!u%

"om#etiti e -re ure i Strong ' -ro ide better, cu tomi.ed er ice !or an edge e g in

"u tomer e%ation hi# Management

Why Mine Data? Commercial Viewpoint

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Why Mine Data? Scientific Viewpoint

Data co%%ected and tored atenormou #eed 3*/hour

' remote en or on a ate%%ite

' te%e co#e canning the +ie

' microarra$ generating genee #re ion data

' cienti!ic imu%ation

generating terab$te o! dataTraditiona% techni5ue in!ea ib%e !or ra& dataData mining ma$ he%# cienti t ' in c%a i!$ing and egmenting data ' in 6$#othe i 7ormation

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What is Data Mining?

Many Definitions ' 'on-tri ial e(traction of implicit) pre iously

un%nown and potentially useful information fromdata

' *(ploration + analysis) ,y automatic orsemi-automatic means) oflarge uantities of datain order to disco ermeaningful patterns

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Tan,Steinbach, Kumar Introduction to Data Mining 4/18/2004 ;

What is .not/ Data Mining?

What is Data Mining?

' "ertain name are more#re a%ent in certain CS%ocation E*rien, E ur+e,

E ei%%$F in *o ton area ' 3rou# together imi%ar

document returned b$earch engine according totheir conte t e g Ama.onrain!ore t, Ama.on com,

What is not DataMining?

' Loo+ u# #hone

number in #honedirector$

' Guer$ a (eb

earch engine !orin!ormation about?Ama.onB

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