Proceedings of the Workshop on Interactive Data Mining - WIDM'19

Interactive Data Mining: A Short Background Study on Effective Interaction and Visualization by Association Rules

2nd International conference on Innovative Engineering Technologies (ICIET'2015) August 7-8, 2015 Bangkok (Thailand) ◽

10.15242/iie.e0815001 ◽

2015 ◽

Keyword(s):

Data Mining ◽

Association Rules ◽

Effective Interaction ◽

Interactive Data Mining ◽

Interactive Data

Ubiquitous Mining with Interactive Data Mining Agents

Journal of Computer Science and Technology ◽

10.1007/s11390-009-9291-7 ◽

2009 ◽

Vol 24 (6) ◽

pp. 1018-1027

Author(s):

Xin-Dong Wu ◽

Xing-Quan Zhu ◽

Qi-Jun Chen ◽

Fei-Yue Wang

Keyword(s):

Data Mining ◽

Interactive Data Mining ◽

Interactive Data

City Brand Image Building Strategy Based on Interactive Data Mining and Visual Saliency

2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) ◽

10.1109/iceca49313.2020.9297404 ◽

2020 ◽

Author(s):

Sining Hua

Keyword(s):

Data Mining ◽

Brand Image ◽

Visual Saliency ◽

City Brand ◽

Interactive Data Mining ◽

Image Building ◽

Interactive Data

Real-time interactive data mining for chemical imaging information: application to automated histopathology

BMC Bioinformatics ◽

10.1186/1471-2105-14-156 ◽

2013 ◽

Vol 14 (1) ◽

pp. 156 ◽

Cited By ~ 10

Author(s):

David Mayerich ◽

Michael Walsh ◽

Matthew Schulmerich ◽

Rohit Bhargava

Keyword(s):

Data Mining ◽

Real Time ◽

Chemical Imaging ◽

Interactive Data Mining ◽

Interactive Data

Orange: From Experimental Machine Learning to Interactive Data Mining

Lecture Notes in Computer Science - Knowledge Discovery in Databases: PKDD 2004 ◽

10.1007/978-3-540-30116-5_58 ◽

2004 ◽

pp. 537-539 ◽

Cited By ~ 95

Author(s):

Janez Demšar ◽

Blaž Zupan ◽

Gregor Leban ◽

Tomaz Curk

Keyword(s):

Machine Learning ◽

Data Mining ◽

Interactive Data Mining ◽

Interactive Data

User interface design of interactive data mining in parallel environment

Proceedings of the 2005 International Conference on Active Media Technology, 2005. (AMT 2005). ◽

10.1109/amt.2005.1505371 ◽

2005 ◽

Cited By ~ 1

Author(s):

Zhen Liu ◽

Xiangshi Ren ◽

Chaohai Zhang

Keyword(s):

Data Mining ◽

User Interface ◽

Interface Design ◽

User Interface Design ◽

Interactive Data Mining ◽

Interactive Data ◽

Parallel Environment

Knowledge Discovery and interactive Data Mining in Bioinformatics - State-of-the-Art, future challenges and research directions

BMC Bioinformatics ◽

10.1186/1471-2105-15-s6-i1 ◽

2014 ◽

Vol 15 (S6) ◽

Cited By ~ 117

Author(s):

Andreas Holzinger ◽

Matthias Dehmer ◽

Igor Jurisica

Keyword(s):

Data Mining ◽

Knowledge Discovery ◽

State Of The Art ◽

Research Directions ◽

Interactive Data Mining ◽

Future Challenges ◽

Interactive Data

Framework for Interactive Data Mining Results Visualization on Mobile Devices

International Journal of Database Theory and Application ◽

10.14257/ijdta.2014.7.4.03 ◽

2014 ◽

Vol 7 (4) ◽

pp. 23-36

Author(s):

Muzammil Khan ◽

Ali Shah ◽

Israr Ahmad

Keyword(s):

Data Mining ◽

Mobile Devices ◽

Interactive Data Mining ◽

Interactive Data

User-Centered Interactive Data Mining

International Journal of Cognitive Informatics and Natural Intelligence ◽

10.4018/jcini.2008010105 ◽

2008 ◽

Vol 2 (1) ◽

pp. 58-72 ◽

Cited By ~ 6

Author(s):

Yan Zhao ◽

Yaohua Chen ◽

Yiyu Yao

Keyword(s):

Data Mining ◽

Interactive Data Mining ◽

Interactive Data ◽

User Centered

User-Centered Interactive Data Mining

Data Warehousing and Mining ◽

10.4018/978-1-59904-951-9.ch122 ◽

2008 ◽

pp. 2051-2066

Author(s):

Yan Zho ◽

Yaohua Chen ◽

Yiyu Yao

Keyword(s):

Data Mining ◽

Computer Systems ◽

User Requirements ◽

Knowledge Representations ◽

Interactive Data Mining ◽

Interactive Data ◽

Selection Of ◽

User Centered

While many data mining models concentrate on automation and efficiency, interactive data mining models focus on adaptive and effective communications between human users and computer systems. User requirements and preferences play the most important roles in human-machine interactions, and guide the selection of target knowledge representations, operations, and measurements. Practically, user requirements and preferences also decide strategies of abnormal situation handling, and explanations of mined patterns. In this article, we discuss these fundamental issues based on a user-centered three-layer framework of interactive data mining.