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

2015 ◽  
Keyword(s):  
Data Mining ◽  
Association Rules ◽  
Effective Interaction ◽  
Interactive Data Mining ◽  
Interactive Data

Ubiquitous Mining with Interactive Data Mining Agents

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

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

2013 ◽  
Vol 14 (1) ◽  
pp. 156 ◽  
Author(s):  
David Mayerich ◽  
Michael Walsh ◽  
Matthew Schulmerich ◽  
Rohit Bhargava
Keyword(s):  
Data Mining ◽  
Real Time ◽  
Chemical Imaging ◽  
Interactive Data Mining ◽  
Interactive Data

Explanation in OLAP Data Cubes

2014 ◽  
Vol 7 (4) ◽  
pp. 63-78 ◽  
Author(s):  
Rahhal Errattahi ◽  
Mohammed Fakir ◽  
Fatima Zahra Salmam
Keyword(s):  
Data Mining ◽  
Association Rules ◽  
Data Structures ◽  
Relevant Information ◽  
Multidimensional Data ◽  
New Approach ◽  
Data Cubes ◽  
Multidimensional Data Structures ◽  
Analytical Processing ◽  
Interactive Data

OLAP is an important technology that offers a fast and interactive data navigation, it also provides tools to explore data cubes in order to extract interesting information from a multidimensional data structures. However, the OLAP exploration is done manually, without tools that could automatically extract relevant information from the cube. In addition OLAP is not capable of explaining relationships that could exist within data. This paper presents a new approach to coupling between data mining and online analytical processing. Its approach provides the explanation in OLAP data cubes by using the association rules between the inter-dimensional predicates. The mining process could be done by one of the two algorithms, Apriori and Fp-Growth, in which aggregate measures to calculate support and confidence are exploited. It also evaluates the interestingness of mined association rules according to the Lift criteria.

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