data mining of library

Data Mining2013311266 현지민

INDEX

1 2 3 4

Sce-nario

Data anal-ysis

Data Collect & Clean-ing

Solution

Scenario2

PRESENTATIONPRESENTATIONPRESENTATION

1

Find Pat-tern

42014 2015 2016

200000

205000

210000

215000

220000

225000

230000

Number of Borrowing 2

3

Data collect & cleaning2

• Borrowing and Return 2016/3/2~2016/11/30 Undergraduate stu-dents

• Only College of Liberal Arts and College of Confucian Studies and Eastern Philosophy

• All 11 departments (Korean, English, French, Chinese, German, Russian, Korean literature in Classical Chinese, History, Philoso-phy, Library and Information Science, Confucian and Oriental Studies)

• 21columns(borrowing library, Registration Number, Entrance Year, located library, location, title, label number, borrowing date, borrowing operation date, worker(borrowing), due date, re-turn date, worker(return), return operation date, status, borrow-ing type, way of borrowing, way of return, Bibliographic number, overdue, reservation), 33762 rows.

Data collect & cleaning2

Delete record of Media, books for employments. Delete record of Jon’gyeong’gak, Architecture Li-brary 1

Add borrowing.month, Major, Detailed topic, Sim-ple.topic, topic, delayed(0,1) column2

Delete Null data of Label Number column3transform borrowing type into 2 values: per-

son machine4

Data collect & cleaning2Dewey Decimal Classification

Data Analysis3

Chi square with R

1Visualization

2

Text mining with R

3Regression

4

Data Analysis21

Data Analysis21

A<-table(record$major,record$simple.topic)A2<-as.data.frame(A)A3<-split(A2,A2$Var2)unlist(A3)A4<-as.data.frame(A3)A5<-data.frame(A4$X0.Freq,A4$X1.Freq,A4$X2.Freq,A4$X3.Freq,A4$X4.Freq, A4$X5.Freq,A4$X6.Freq,A4$X7.Freq,A4$X8.Freq,A4$X9.Freq)names(A5)=c("000","100","200","300","400","500","600","700","800","900")rownames(A5)<-c("Chinese","Classical Chinese","Eastern Philosophy","English","French","German","History","humanity","Korean","library","Philosophy","Russian")

Major

Topic

Data Analysis21

Borrowingmonth

Simple.Topic

En-tranceyear

Data Analysis21

Data Analysis32

Chinese

Classic

al Chines

e

Easte

rn Philo

sophy

Englis

h

Fren

ch

German

Histor

y

humanity

Kore

an

libra

ry

Philo

sophy

Russ

ian

Major & Topic000 100 200 300 400 500 600 700 800 900

Data Analysis32

Chinese

Classic

al Chines

e

Easte

rn Philo

sophy

Englis

h

Fren

ch

German

Histor

y

humanity

Kore

an

libra

ry

Philo

sophy

Russ

ian

431

000

Data Analysis32

Chines

e

Class

ical C

hinese

Easte

rn Ph

iloso

phy

Englis

h

Fren

ch

German

Histor

y

human

ity

Korea

n

libra

ry

Philo

sophy

Russ

ian

637

970

100

Data Analysis32

Chinese

Classic

al Chines

e

Easte

rn Philo

sophy

Englis

h

Fren

ch

German

Histor

y

humanity

Kore

an

libra

ry

Philo

sophy

Russ

ian

2907

800

Data Analysis32

Chinese

Classic

al Chines

e

Easte

rn Philo

sophy

Englis

h

Fren

ch

German

Histor

y

humanity

Kore

an

libra

ry

Philo

sophy

Russ

ian

1638

900

Data Analysis32

Chines

e

Classic

al Chin

ese

Easte

rn Phil

osop

hy

Engli

sh

Frenc

h

German

History

human

ity

Korean

libra

ry

Philos

ophy

Russia

n

416

600

Data Analysis32

61 62 64 65 67

341

English

Data Analysis32

09 10 11 12 13 14 15 16

268

214

64

000

Data Analysis32

13 14 15 160%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Entrance Year & 000

0 10 20 30 40 60 70 80 90

Data Analysis32

2014 2015 20160 100 200 300 400500 600 700 800 900

Data Analysis32

3 4 5 6 7 8 9 10 11

900 per Month

90 91 92 93 94 95 96 97 98

Data Analysis33

Data Analysis34

Solution4

Special corner for Major in Book ExhibitionNot only major book but also business books for Eng-lish etc.

Major

Buy more latest Computer books.Make specific label or corner for computer books

000

In June, July, December and January, Make latest Travel Books Exhibition

Vacation

Buy More Assignment bookChange Borrowing period or Late fee only for Assign-ment books

Assignment

THANKYOU

data mining of library

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