data mining of library
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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
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 Analysis21
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 Analysis33
Data Analysis34
Data Analysis34
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
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