Journal of the Korean Cartographic Association 2023 KCI Impact Factor : 1.34
-
pISSN : 1598-6160
- https://journal.kci.go.kr/jkca
KJCKorea
Journal Central
A Research Trends about Spatio-temporal Data Mining and Visualization of Log Data
- Journal of the Korean Cartographic Association
- Abbr : JKCA
- 2016, 16(3), pp.15-27
- Publisher : The Korean Cartographic Association
- Research Area : Social Science > Geography > Geography in general > Cartography
- Published : December 31, 2016
Cho， Nahye 1, Youngok Kang 1
1이화여자대학교
Accredited
ABSTRACT
Recently increasing the usage of mobile and web, the researches which are trying to draw a meaningful information and knowledge in numerous different ways by analyzing the log data recorded in our daily life are growing very fast. Many researchers have studied to explore the patterns and the meanings by visualizing the log data in multi-dimensional ways because the log data generated from a number of sensors mounted on the mobile device shall contains a temporal and spatial information. The goal of this study is searching a implication and exploring the researches related to both data mining and visualization that analyze the log data which has spatio-temporal information multi-dimensionally by research area and method.
Statistics
-
447 Viewed
-
499 Downloaded
Tools
Issue List
Citation status
* References for papers published after 2023 are currently being built.
[journal]
강만오
/ 2012
/ 빅 데이터가 여는 미래의 세상
/ 정보과학회지
30(6)
: 25~32
[journal]
김석기
/ 2001
/ 웹 로그(WEB LOG) 데이터 분석 방법에 관한 연구
/ 응용통계연구
14(2)
: 261~271
[thesis]
김윤경
/ 2003
/ 효과적인 Cyber 교육 시스템 구축을 위한 Web Log 분석 활용 방안 연구
/ 석사
/ 이화여자대학교 교육대학원
[journal]
김호성
/ 2010
/
Visualization of Passenger Flows of the Metropolitan Seoul Subway System
/ 한국콘텐츠학회 논문지
/ 한국콘텐츠학회
10(4)
: 397~405
[journal]
박진형
/ 2009
/
Analysis and Prediction of Power Consumption Pattern Using Spatiotemporal Data Mining Techniques in GIS-AMR System
/ 정보처리학회논문지D
/ 한국정보처리학회
16(3)
: 307~316
[journal]
변시우
/ 2002
/ Log data 분석을 통한 웹사이트의 효율적 관리방안-ABC Jeans 사 사례 분석을 중심으로
/ 인터넷비즈니스 연구
3(1)
: 99~124
[journal]
서정민
/ 2010
/ 모바일 센서 네트워크를 활용한 장애인 라이프 로그의 분석 및 위험 감지 시스템에 관한 연구
/ 한국컴퓨터정보학회
18(2)
: 311~314
[confproc]
성병준
/ 2014
/ 진주시 교통사고 공간적 군집분석
/ 2014 한국지형공간정보학회 춘계학술대회
: 169~172
[journal]
이건학
/ 2004
/
A Study on Spatial Patterns of Traffic Accidents using GIS
and Spatial Data Mining Methods: A Case Study of Kangnam-gu, Seoul
/ 대한지리학회지
/ 대한지리학회
39(3)
: 457~472
[journal]
이기용
/ 2014
/
A Game Log Data Analysis Technique using MapReduce
/ 한국컴퓨터게임학회논문지
/ (사)한국컴퓨터게임학회
27(1)
: 19~25
[book]
이정진
/ 2011
/ R, SAS, MS-SQL을 활용한 데이터마이닝
/ 자유아카데미
[journal]
이헌규
/ 2009
/
Prediction of Consumer Propensity to Purchase Using Geo-Lifestyle Clustering and Spatiotemporal Data Cube in GIS-Postal Marketing System
/ 한국공간정보시스템학회 논문지
/ 한국공간정보시스템학회
11(4)
: 74~84
[thesis]
장지훈
/ 2009
/ 시공간 데이터를 이용한 데이터마이닝
/ 석사
/ 서울대학교 대학원
[journal]
정성훈
/ 2015
/
A Survey of Fraud Detection Research based on Transaction Analysis and Data Mining Technique
/ 정보보호학회논문지
/ 한국정보보호학회
25(6)
: 1525~1540
[journal]
조일현
/ 2013
/
Investigation of Statistically Significant Period for Achievement Prediction Model in e-Learning
/ 교육공학연구
/ 한국교육공학회
29(2)
: 285~306
[journal]
최승배
/ 2009
/
Behavior analysis of entrance applicants using web log data
/ 한국데이터정보과학회지
/ 한국데이터정보과학회
20(3)
: 493~504
[confproc]
Agrawal, R.
/ 1994
/ Fast algorithms for mining association rules
/ Proceedings,. 20th International Conference Very Large Data Bases VLDB
1215
: 487~499
[journal]
Andrienko, N.
/ 2003
/ Exploratory spatio-temporal visualization: an analytical review
/ Journal of Visual Languages and Computing
14(6)
: 503~541
[confproc]
Bogomolov, A.
/ 2013
/ Happiness recognition from mobile phone data
/ Proceedings, Social Computing(SocialCom), 2013 International Conference
: 790~795
[confproc]
Bogomolov, A.
/ 2014
/ Pervasive stress recognition for sustainable living, Proceedings
/ Pervasive Computing and Communications Workshops(PERCOM Works hops) 2014 IEEE International Conference
: 345~350
[journal]
Böhlen, M.
/ 2003
/ 3D visual data mining-goals and experiences
/ Computational Statistics & Data Analysis
43(4)
: 445~469
[journal]
Chittaranjan, G.
/ 2013
/ Mining large-scale smartphone data for personality studies
/ Personal and Ubiquitous Computing
17(3)
: 433~450
[journal]
Compieta, P.
/ 2007
/ Exploratory spatio-temporal data mining and visualization
/ Journal of Visual Languages & Computing
18(3)
: 255~279
[journal]
Demšar, U.
/ 2010
/ Space–time density of trajectories: exploring spatio-temporal patterns in movement data
/ International Journal of Geographical Information Science
24(10)
: 1527~1542
[journal]
Fang, T.B
/ 2011
/ Constructing a mear real‐time space‐time cube to depict urban ambient air pollution scenario
/ Transactions in GIS
15(5)
: 635~649
[journal]
Ferreira, N.
/ 2013
/ Visual exploration of big spatio-temporal urban data: A study of new york city taxi trips
/ IEEE Transactions on Visualization and Computer Graphics
19(12)
: 2149~2158
[confproc]
Gatalsky, P.
/ 2004
/ Interactive analysis of event data using space-time cube
/ Proceedings, Information Visualisation 8th International Conference 2004
: 145~152
[journal]
황명구
/ 2012
/
A Study on Life-log Analysis and Monitoring System for Disabled Person Using Smart Media
/ 한국컴퓨터정보학회논문지
/ 한국컴퓨터정보학회
17(8)
: 99~106
[thesis]
Jun, H. C.
/ 2002
/ A study on web shopping mall user behavior using log files: W. cosmetic mall case
/ Master
/ KAIST
[thesis]
Jaekwang Kim
/ 2014
/ (A)novel recommendation approach based on chronological cohesive units in contents consuming logs
/ 박사
/ 성균관대학교 대학원
[confproc]
Kim, J.H
/ 2015
/ Diagnosis analysis inpatient log data based on process mining
/ Proceedings, the Spring Conference on Korean Institute of Industrial Engineers
: 1027~1038
[journal]
Kristensson, P. O.
/ 2009
/ An evaluation of space time cube representation of spatiotemporal patterns
/ IEEE Transactions on Visualization and Computer Graphics
15(4)
: 696~702
[confproc]
Koperski, K.
/ 1996
/ Spatial data mining: progress and challenges survey paper
/ Proceedings, ACM SIGMOD Workshop on Research Issues on Data Mining and Knowledge Discovery
: 1~10
[confproc]
LiKamWa, R.
/ 2011
/ Can your smartphone infer your mood
/ Proceedings, PhoneSense Workshop
: 1~5
[journal]
Mafrur, R.
/ 2015
/ Modeling and discovering human behavior from smartphone sensing life-log data for identification purpose
/ Humancentric Computing and Information Sciences
5(1)
: 1~18
[journal]
Miller, H. J.
/ 1991
/ Modelling accessibility using space-time prism concepts within geographical information systems
/ International Journal of Geographical Information System
5(3)
: 287~301
[journal]
Miller, H. J.
/ 2005
/ A measurement theory for time geography
/ Geographical Analysis
37(1)
: 17~45
[journal]
Min, J.K
/ 2011
/ Mobile human network management and recommendation by probabilistic social mining
/ IEEE Transactions on Systems, Man, and Cybernetics, Part B(Cybernetics)
41(3)
: 761~771
[confproc]
Min, J. K.
/ 2013
/ Mining smartphone data to classify life-facets of social relationships
/ Proceedings, 2013 Conference on Computer Supported Cooperative Work
: 285~294
[journal]
Montoliu, R.
/ 2013
/ Discovering places of interest in everyday life from smartphone data
/ Multimedia Tools and Applications
62(1)
: 179~207
[confproc]
Montoliu, R.
/ 2010
/ Discovering human places of interest from multimodal mobile phone data
/ Proceedings, 9th International Conference on Mobile and Ubiquitous Multimedia
[confproc]
Muaremi, A.
/ 2012
/ A survey on measuring happiness with smart phones
/ Proceedings, 6th International Workshop on Ubiquitous Health and Wellness(UbiHealth 2012)
[journal]
Nakaya, T.
/ 2010
/ Visualising crime clusters in a space‐time cube: an exploratory data‐analysis approach using space‐time kernel density estimation and scan statistics
/ Transactions in GIS
14(3)
: 223~239
[journal]
David Nicholas
/ 2014
/
Log Usage Analysis: What it Discloses about Use, Information Seeking and Trustworthiness
/ International Journal of Knowledge Content Development & Technology
/ 지식콘텐츠연구소
4(1)
: 23~37
[journal]
Park, N.H
/ 2013
/ Log based keyword extraction and spread based clustering for an efficient information searching
/ International Journal of Software Engineering and Its Applications
7(6)
: 201~
[journal]
Pierleoni, P.
/ 2014
/ An android-based heart monitoring system for the elderly and for patients with heart disease
/ International Journal of Telemedicine and Applications
10
[confproc]
Rinner, C.
/ 2004
/ Three-dimensional visualizationof activity-travel patterns
/ Proceedings, the Munster GI Days
: 231~237
[journal]
Seneviratne, S.
/ 2014
/ Predicting user traits from a snapshot of apps installed on a smartphone
/ ACM SIGMOBILE Mobile Computing and Communications Review
18(2)
: 1~8
[confproc]
Shin, S. M.
/ 2014
/ An analysis of a convergence utilization field of technology based on usage log in information service
/ Proceedings, International Conference on Convergence Technology
: 967~968
[confproc]
Sim, S.
/ 2013
/ Exploratory spatial-temporal visualization of hurricane impacts on crime events in miami, Florida
/ Proceedings, 26th International Cartographic Conference(ICC)
[confproc]
Singh, V. K.
/ 2013
/ Predicting spending behavior using socio-mobile features
/ Proceedings, Social Computing(SocialCom)2013 International Conference
: 174~179
[journal]
Sujatha, V.
/ 2012
/ Improved user navigation pattern prediction technique from web log data
/ Procedia Engineering
30
: 92~99
[confproc]
Thiagarajan, A.
/ 2009
/ VTrack: accurate, energy-aware road traffic delay estimation using mobile phones
/ Proceedings, 7th ACM Conference on Embedded Networked Sensor Systems
: 85~98
[journal]
Vasiliev, I.
/ 1997
/ Mapping time
/ Cartographica: The InternationalJournal for Geographic Information and Geovisualization
34(2)
: 1~51
[journal]
Vu, Thi Hong Nhan
/ 2008
/
Discovery of Frequent Sequence Pattern in Moving Object Databases
/ 정보처리학회논문지D
/ 한국정보처리학회
15(2)
: 179~186
[confproc]
Yang, Y.
/ 2002
/ A comparative study of discretization methods for naive-bayes classifiers
/ Proceedings, PKAW
2002
This paper was written with support from the National Research Foundation of Korea.