Overview

Dataset statistics

Number of variables7
Number of observations175
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.9 KiB
Average record size in memory57.8 B

Variable types

Numeric1
Categorical1
Text3
DateTime2

Dataset

Description한국지식재산연구원 지식재산관련 국제심포지엄, 포럼, 세미나,국제행사, 컨퍼런스 등 지식재산관련 행사정보 자료입니다.
URLhttps://www.data.go.kr/data/15090806/fileData.do

Alerts

번호 has unique valuesUnique
행사명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:13:15.866678
Analysis finished2023-12-12 19:13:16.709842
Duration0.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct175
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88
Minimum1
Maximum175
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-13T04:13:16.789926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.7
Q144.5
median88
Q3131.5
95-th percentile166.3
Maximum175
Range174
Interquartile range (IQR)87

Descriptive statistics

Standard deviation50.662281
Coefficient of variation (CV)0.57570773
Kurtosis-1.2
Mean88
Median Absolute Deviation (MAD)44
Skewness0
Sum15400
Variance2566.6667
MonotonicityStrictly increasing
2023-12-13T04:13:16.960584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
2 1
 
0.6%
113 1
 
0.6%
114 1
 
0.6%
115 1
 
0.6%
116 1
 
0.6%
117 1
 
0.6%
118 1
 
0.6%
119 1
 
0.6%
120 1
 
0.6%
Other values (165) 165
94.3%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
175 1
0.6%
174 1
0.6%
173 1
0.6%
172 1
0.6%
171 1
0.6%
170 1
0.6%
169 1
0.6%
168 1
0.6%
167 1
0.6%
166 1
0.6%

구분
Categorical

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
포럼
121 
세미나
33 
국제행사
21 

Length

Max length4
Median length2
Mean length2.4285714
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row포럼
2nd row포럼
3rd row포럼
4th row포럼
5th row포럼

Common Values

ValueCountFrequency (%)
포럼 121
69.1%
세미나 33
 
18.9%
국제행사 21
 
12.0%

Length

2023-12-13T04:13:17.144809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:13:17.306789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
포럼 121
69.1%
세미나 33
 
18.9%
국제행사 21
 
12.0%

행사명
Text

UNIQUE 

Distinct175
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-13T04:13:17.579275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length72
Median length40
Mean length26.131429
Min length9

Characters and Unicode

Total characters4573
Distinct characters321
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique175 ?
Unique (%)100.0%

Sample

1st row제2회 지재연포럼「특허제도의 경제적 분석」
2nd row제32회 지식재산연구포럼「중소기업의 특허경영전략」
3rd row제33회 지식재산연구포럼「특허신탁을 통한 자금조달의 현황과 과제」
4th row제34회 지식재산연구포럼「특허제도 선진화 방안」
5th row제35회 지식재산연구 포럼「한 미 FTA 지재권 협상의 경제적 효과」
ValueCountFrequency (%)
지식재산 47
 
5.3%
포럼 26
 
2.9%
및 15
 
1.7%
세미나 14
 
1.6%
국제 12
 
1.3%
위한 12
 
1.3%
제2회 11
 
1.2%
ip 10
 
1.1%
지식재산연구 10
 
1.1%
심포지엄 8
 
0.9%
Other values (503) 726
81.5%
2023-12-13T04:13:18.068672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
741
 
16.2%
지 188
 
4.1%
재 168
 
3.7%
제 145
 
3.2%
산 135
 
3.0%
식 126
 
2.8%
회 120
 
2.6%
포 101
 
2.2%
럼 90
 
2.0%
연 81
 
1.8%
Other values (311) 2678
58.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3111
68.0%
Space Separator 741
 
16.2%
Decimal Number 282
 
6.2%
Lowercase Letter 142
 
3.1%
Uppercase Letter 106
 
2.3%
Close Punctuation 68
 
1.5%
Open Punctuation 68
 
1.5%
Other Punctuation 38
 
0.8%
Dash Punctuation 7
 
0.2%
Math Symbol 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 188
 
6.0%
재 168
 
5.4%
제 145
 
4.7%
산 135
 
4.3%
식 126
 
4.1%
회 120
 
3.9%
포 101
 
3.2%
럼 90
 
2.9%
연 81
 
2.6%
한 63
 
2.0%
Other values (244) 1894
60.9%
Lowercase Letter
ValueCountFrequency (%)
n 19
13.4%
e 16
11.3%
t 15
10.6%
i 15
10.6%
r 12
8.5%
o 11
7.7%
a 10
 
7.0%
l 7
 
4.9%
u 5
 
3.5%
s 5
 
3.5%
Other values (10) 27
19.0%
Uppercase Letter
ValueCountFrequency (%)
I 22
20.8%
P 22
20.8%
T 9
8.5%
A 8
 
7.5%
F 7
 
6.6%
R 6
 
5.7%
D 6
 
5.7%
C 5
 
4.7%
S 4
 
3.8%
M 4
 
3.8%
Other values (8) 13
12.3%
Decimal Number
ValueCountFrequency (%)
2 76
27.0%
1 59
20.9%
0 56
19.9%
3 22
 
7.8%
5 17
 
6.0%
4 14
 
5.0%
6 12
 
4.3%
7 11
 
3.9%
9 8
 
2.8%
8 7
 
2.5%
Other Punctuation
ValueCountFrequency (%)
, 11
28.9%
' 11
28.9%
& 5
13.2%
: 4
 
10.5%
· 4
 
10.5%
/ 3
 
7.9%
Close Punctuation
ValueCountFrequency (%)
」 51
75.0%
) 15
 
22.1%
] 1
 
1.5%
』 1
 
1.5%
Open Punctuation
ValueCountFrequency (%)
「 51
75.0%
( 15
 
22.1%
『 1
 
1.5%
[ 1
 
1.5%
Math Symbol
ValueCountFrequency (%)
< 3
50.0%
> 3
50.0%
Space Separator
ValueCountFrequency (%)
741
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3110
68.0%
Common 1214
 
26.5%
Latin 248
 
5.4%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 188
 
6.0%
재 168
 
5.4%
제 145
 
4.7%
산 135
 
4.3%
식 126
 
4.1%
회 120
 
3.9%
포 101
 
3.2%
럼 90
 
2.9%
연 81
 
2.6%
한 63
 
2.0%
Other values (243) 1893
60.9%
Latin
ValueCountFrequency (%)
I 22
 
8.9%
P 22
 
8.9%
n 19
 
7.7%
e 16
 
6.5%
t 15
 
6.0%
i 15
 
6.0%
r 12
 
4.8%
o 11
 
4.4%
a 10
 
4.0%
T 9
 
3.6%
Other values (28) 97
39.1%
Common
ValueCountFrequency (%)
741
61.0%
2 76
 
6.3%
1 59
 
4.9%
0 56
 
4.6%
」 51
 
4.2%
「 51
 
4.2%
3 22
 
1.8%
5 17
 
1.4%
( 15
 
1.2%
) 15
 
1.2%
Other values (19) 111
 
9.1%
Han
ValueCountFrequency (%)
村 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3110
68.0%
ASCII 1354
29.6%
None 108
 
2.4%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
741
54.7%
2 76
 
5.6%
1 59
 
4.4%
0 56
 
4.1%
I 22
 
1.6%
P 22
 
1.6%
3 22
 
1.6%
n 19
 
1.4%
5 17
 
1.3%
e 16
 
1.2%
Other values (52) 304
22.5%
Hangul
ValueCountFrequency (%)
지 188
 
6.0%
재 168
 
5.4%
제 145
 
4.7%
산 135
 
4.3%
식 126
 
4.1%
회 120
 
3.9%
포 101
 
3.2%
럼 90
 
2.9%
연 81
 
2.6%
한 63
 
2.0%
Other values (243) 1893
60.9%
None
ValueCountFrequency (%)
」 51
47.2%
「 51
47.2%
· 4
 
3.7%
『 1
 
0.9%
』 1
 
0.9%
CJK
ValueCountFrequency (%)
村 1
100.0%

행사일
Date

Distinct171
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum1997-05-28 00:00:00
Maximum2023-05-10 00:00:00
2023-12-13T04:13:18.230970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:13:18.389020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

주제
Text

Distinct169
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-13T04:13:18.754974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length39
Mean length22.24
Min length4

Characters and Unicode

Total characters3892
Distinct characters329
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique165 ?
Unique (%)94.3%

Sample

1st row특허제도의 경제적 분석
2nd row중소기업의 특허경영전략
3rd row특허신탁을 통한 자금조달의 현황과 과제
4th row특허제도 선진화 방안
5th row한 미 FTA 지재권 협상의 경제적 효과
ValueCountFrequency (%)
지식재산 35
 
4.1%
위한 28
 
3.3%
및 24
 
2.8%
ip 11
 
1.3%
전략 9
 
1.1%
지식재산권 8
 
0.9%
지재권 8
 
0.9%
방안 7
 
0.8%
것인가 6
 
0.7%
국가 6
 
0.7%
Other values (524) 713
83.4%
2023-12-13T04:13:19.412371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
703
 
18.1%
지 116
 
3.0%
산 102
 
2.6%
재 101
 
2.6%
식 88
 
2.3%
의 82
 
2.1%
제 75
 
1.9%
한 73
 
1.9%
과 53
 
1.4%
국 52
 
1.3%
Other values (319) 2447
62.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2749
70.6%
Space Separator 703
 
18.1%
Lowercase Letter 170
 
4.4%
Uppercase Letter 127
 
3.3%
Decimal Number 75
 
1.9%
Other Punctuation 30
 
0.8%
Open Punctuation 16
 
0.4%
Close Punctuation 16
 
0.4%
Dash Punctuation 4
 
0.1%
Modifier Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 116
 
4.2%
산 102
 
3.7%
재 101
 
3.7%
식 88
 
3.2%
의 82
 
3.0%
제 75
 
2.7%
한 73
 
2.7%
과 53
 
1.9%
국 52
 
1.9%
전 50
 
1.8%
Other values (260) 1957
71.2%
Lowercase Letter
ValueCountFrequency (%)
n 24
14.1%
i 20
11.8%
t 17
10.0%
a 14
8.2%
e 14
8.2%
o 14
8.2%
s 11
 
6.5%
r 11
 
6.5%
l 7
 
4.1%
y 5
 
2.9%
Other values (9) 33
19.4%
Uppercase Letter
ValueCountFrequency (%)
I 26
20.5%
P 24
18.9%
C 11
8.7%
A 10
 
7.9%
T 10
 
7.9%
F 9
 
7.1%
S 8
 
6.3%
M 5
 
3.9%
W 4
 
3.1%
B 3
 
2.4%
Other values (7) 17
13.4%
Decimal Number
ValueCountFrequency (%)
2 19
25.3%
1 19
25.3%
0 18
24.0%
5 7
 
9.3%
3 3
 
4.0%
4 3
 
4.0%
7 2
 
2.7%
6 2
 
2.7%
9 1
 
1.3%
8 1
 
1.3%
Other Punctuation
ValueCountFrequency (%)
, 13
43.3%
' 7
23.3%
· 6
20.0%
& 2
 
6.7%
: 1
 
3.3%
/ 1
 
3.3%
Open Punctuation
ValueCountFrequency (%)
( 15
93.8%
「 1
 
6.2%
Close Punctuation
ValueCountFrequency (%)
) 15
93.8%
」 1
 
6.2%
Space Separator
ValueCountFrequency (%)
703
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2748
70.6%
Common 846
 
21.7%
Latin 297
 
7.6%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 116
 
4.2%
산 102
 
3.7%
재 101
 
3.7%
식 88
 
3.2%
의 82
 
3.0%
제 75
 
2.7%
한 73
 
2.7%
과 53
 
1.9%
국 52
 
1.9%
전 50
 
1.8%
Other values (259) 1956
71.2%
Latin
ValueCountFrequency (%)
I 26
 
8.8%
P 24
 
8.1%
n 24
 
8.1%
i 20
 
6.7%
t 17
 
5.7%
a 14
 
4.7%
e 14
 
4.7%
o 14
 
4.7%
s 11
 
3.7%
C 11
 
3.7%
Other values (26) 122
41.1%
Common
ValueCountFrequency (%)
703
83.1%
2 19
 
2.2%
1 19
 
2.2%
0 18
 
2.1%
( 15
 
1.8%
) 15
 
1.8%
, 13
 
1.5%
5 7
 
0.8%
' 7
 
0.8%
· 6
 
0.7%
Other values (13) 24
 
2.8%
Han
ValueCountFrequency (%)
村 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2748
70.6%
ASCII 1135
29.2%
None 8
 
0.2%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
703
61.9%
I 26
 
2.3%
P 24
 
2.1%
n 24
 
2.1%
i 20
 
1.8%
2 19
 
1.7%
1 19
 
1.7%
0 18
 
1.6%
t 17
 
1.5%
( 15
 
1.3%
Other values (46) 250
 
22.0%
Hangul
ValueCountFrequency (%)
지 116
 
4.2%
산 102
 
3.7%
재 101
 
3.7%
식 88
 
3.2%
의 82
 
3.0%
제 75
 
2.7%
한 73
 
2.7%
과 53
 
1.9%
국 52
 
1.9%
전 50
 
1.8%
Other values (259) 1956
71.2%
None
ValueCountFrequency (%)
· 6
75.0%
」 1
 
12.5%
「 1
 
12.5%
CJK
ValueCountFrequency (%)
村 1
100.0%

행사장소
Text

Distinct125
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-13T04:13:19.761032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length27
Mean length18.502857
Min length3

Characters and Unicode

Total characters3238
Distinct characters267
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique112 ?
Unique (%)64.0%

Sample

1st row한국지식재산센터(KIPS) 19층 국제회의실
2nd row한국지식재산센터(KIPS) 19층 한국발명진흥회 국제회의실
3rd row한국지식재산센터(KIPS) 19층 한국발명진흥회 국제회의실
4th row한국지식재산센터(KIPS) 19층 국제회의실
5th row한국지식재산센터(KIPS) 18층 멀티미디어 교육장
ValueCountFrequency (%)
19층 52
 
9.1%
국제회의실 47
 
8.3%
한국지식재산센터(kips 37
 
6.5%
서울 23
 
4.0%
한국지식재산센터 19
 
3.3%
호텔 16
 
2.8%
2층 11
 
1.9%
대회의실 10
 
1.8%
삼정호텔 7
 
1.2%
엘타워 7
 
1.2%
Other values (218) 340
59.8%
2023-12-13T04:13:20.213484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
427
 
13.2%
국 129
 
4.0%
회 104
 
3.2%
층 94
 
2.9%
1 89
 
2.7%
의 83
 
2.6%
실 75
 
2.3%
터 73
 
2.3%
한 72
 
2.2%
) 68
 
2.1%
Other values (257) 2024
62.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2176
67.2%
Space Separator 427
 
13.2%
Decimal Number 229
 
7.1%
Uppercase Letter 201
 
6.2%
Close Punctuation 68
 
2.1%
Open Punctuation 68
 
2.1%
Lowercase Letter 48
 
1.5%
Other Punctuation 21
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 129
 
5.9%
회 104
 
4.8%
층 94
 
4.3%
의 83
 
3.8%
실 75
 
3.4%
터 73
 
3.4%
한 72
 
3.3%
센 66
 
3.0%
재 63
 
2.9%
지 63
 
2.9%
Other values (204) 1354
62.2%
Uppercase Letter
ValueCountFrequency (%)
S 39
19.4%
I 38
18.9%
K 38
18.9%
P 37
18.4%
F 11
 
5.5%
B 11
 
5.5%
W 5
 
2.5%
J 5
 
2.5%
R 3
 
1.5%
O 2
 
1.0%
Other values (10) 12
 
6.0%
Lowercase Letter
ValueCountFrequency (%)
u 9
18.8%
o 8
16.7%
e 6
12.5%
t 4
8.3%
b 4
8.3%
i 3
 
6.2%
f 2
 
4.2%
m 2
 
4.2%
y 2
 
4.2%
d 1
 
2.1%
Other values (7) 7
14.6%
Decimal Number
ValueCountFrequency (%)
1 89
38.9%
9 53
23.1%
2 31
 
13.5%
3 13
 
5.7%
0 11
 
4.8%
4 9
 
3.9%
8 7
 
3.1%
5 6
 
2.6%
6 5
 
2.2%
7 5
 
2.2%
Other Punctuation
ValueCountFrequency (%)
, 18
85.7%
/ 2
 
9.5%
& 1
 
4.8%
Space Separator
ValueCountFrequency (%)
427
100.0%
Close Punctuation
ValueCountFrequency (%)
) 68
100.0%
Open Punctuation
ValueCountFrequency (%)
( 68
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2176
67.2%
Common 813
 
25.1%
Latin 249
 
7.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 129
 
5.9%
회 104
 
4.8%
층 94
 
4.3%
의 83
 
3.8%
실 75
 
3.4%
터 73
 
3.4%
한 72
 
3.3%
센 66
 
3.0%
재 63
 
2.9%
지 63
 
2.9%
Other values (204) 1354
62.2%
Latin
ValueCountFrequency (%)
S 39
15.7%
I 38
15.3%
K 38
15.3%
P 37
14.9%
F 11
 
4.4%
B 11
 
4.4%
u 9
 
3.6%
o 8
 
3.2%
e 6
 
2.4%
W 5
 
2.0%
Other values (27) 47
18.9%
Common
ValueCountFrequency (%)
427
52.5%
1 89
 
10.9%
) 68
 
8.4%
( 68
 
8.4%
9 53
 
6.5%
2 31
 
3.8%
, 18
 
2.2%
3 13
 
1.6%
0 11
 
1.4%
4 9
 
1.1%
Other values (6) 26
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2176
67.2%
ASCII 1062
32.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
427
40.2%
1 89
 
8.4%
) 68
 
6.4%
( 68
 
6.4%
9 53
 
5.0%
S 39
 
3.7%
I 38
 
3.6%
K 38
 
3.6%
P 37
 
3.5%
2 31
 
2.9%
Other values (43) 174
16.4%
Hangul
ValueCountFrequency (%)
국 129
 
5.9%
회 104
 
4.8%
층 94
 
4.3%
의 83
 
3.8%
실 75
 
3.4%
터 73
 
3.4%
한 72
 
3.3%
센 66
 
3.0%
재 63
 
2.9%
지 63
 
2.9%
Other values (204) 1354
62.2%

등록일
Date

Distinct72
Distinct (%)41.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2003-10-14 00:00:00
Maximum2023-05-10 00:00:00
2023-12-13T04:13:20.359895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:13:20.490170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-13T04:13:16.389771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:13:20.580627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호구분등록일
번호1.0000.5290.893
구분0.5291.0000.771
등록일0.8930.7711.000
2023-12-13T04:13:20.662833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호구분
번호1.0000.369
구분0.3691.000

Missing values

2023-12-13T04:13:16.523277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:13:16.660290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

번호구분행사명행사일주제행사장소등록일
01포럼제2회 지재연포럼「특허제도의 경제적 분석」2003-10-30특허제도의 경제적 분석한국지식재산센터(KIPS) 19층 국제회의실2003-10-14
12포럼제32회 지식재산연구포럼「중소기업의 특허경영전략」2006-09-21중소기업의 특허경영전략한국지식재산센터(KIPS) 19층 한국발명진흥회 국제회의실2006-09-11
23포럼제33회 지식재산연구포럼「특허신탁을 통한 자금조달의 현황과 과제」2006-10-13특허신탁을 통한 자금조달의 현황과 과제한국지식재산센터(KIPS) 19층 한국발명진흥회 국제회의실2006-09-26
34포럼제34회 지식재산연구포럼「특허제도 선진화 방안」2006-11-17특허제도 선진화 방안한국지식재산센터(KIPS) 19층 국제회의실2006-10-19
45포럼제35회 지식재산연구 포럼「한 미 FTA 지재권 협상의 경제적 효과」2006-11-28한 미 FTA 지재권 협상의 경제적 효과한국지식재산센터(KIPS) 18층 멀티미디어 교육장2006-11-17
56포럼제3회 국가 R&D IP포럼2007-11-08대학공공(연) 지식재산 관리역량 평가한국생명공학연구원2007-11-16
67포럼제1회 지재연포럼 「북한의 산업재산권 제도분석 및 남북한 교류협력 방안」2003-06-27북한의 산업재산권 제도분석 및 남북한 교류협력 방안한국지식재산센터(KIPS) 19층 국제회의실2008-10-30
78포럼제3회 지재연포럼「기술혁신과 특허제도의 상관관계」2003-11-20기술혁신과 특허제도의 상관관계한국지식재산센터(KIPS) 19층 국제회의실2008-10-30
89포럼제4회 지재연포럼「기업에서의 지식재산권 정책 방향」2003-12-02기업에서의 지식재산권 정책 방향한국지식재산센터(KIPS) 19층 국제회의실2008-10-30
910포럼제5회 지재연포럼「과학기술정책과 연계한 특허정책 추진전략」2004-01-30과학기술정책과 연계한 특허정책 추진전략한국지식재산센터(KIPS) 19층 국제회의실2008-10-30
번호구분행사명행사일주제행사장소등록일
165166포럼미래성장과 지식재산의 역할2021-12-03미래성장과 지식재산의 역할JW 메리어트 호텔(서초) 3층 살롱 4, 52022-01-17
166167포럼인공지능·지식재산과 법정책 변화 방향2022-02-25인공지능·지식재산과 법정책 변화 방향온라인2022-02-18
167168세미나지식재산전문도서관 제16회 저자와의 대화 개최 안내2022-04-06지식재산전문도서관 제16회 저자와의 대화 개최 안내Youtube2022-04-25
168169포럼2022년 경제안보 유관 연구기관 공동세미나 안내2022-06-022022년 경제안보 유관 연구기관 공동세미나 안내코엑스 컨퍼런스룸 402호2022-06-08
169170포럼한국법제연구원-한국지식재산연구원 공동세미나2022-07-20경제안보 위기대응을 위한 규제혁신의 방향성서울 한국광고문화회관 대회의장 2F2022-07-13
170171포럼한국지식재산연구원-연구개발특구진흥재단 2022년도 공동정책포럼2022-08-19ESG경영 관점에서의 지식재산-기술사업화 전략SC컨벤션 강남센터 아이리스홀2022-08-18
171172포럼지식재산과 한국경제2022-11-28지식재산과 한국경제호텔 나루 서울 엠갤러리(마포), 나루볼룸12022-11-24
172173포럼기술경찰의 중장기 발전방안 마련을 위한 정책포럼2022-12-16기술경찰의 중장기 발전방안 마련을 위한 정책포럼스위스 그랜드 호텔 그랜드 볼룸2022-12-14
173174포럼한국지식재산연구원·한국형사소송법학회 공동학술대회 개최 안내2023-04-21한국지식재산연구원·한국형사소송법학회 공동학술대회 개최 안내한국지식재산센터 19층 대회의실2023-04-18
174175포럼지식재산전문도서관 제17회 온라인 저자와의 대화 '특허 빅데이터 DNA' 개최 안내2023-05-10특허 빅데이터 DNAYoutube2023-05-10