Classification of objective interestingness measures
Journal Title: EAI Endorsed Transactions on Context-aware Systems and Applications - Year 2016, Vol 3, Issue 10
Abstract
The creation of the interestingness measures for evaluating the quality of the association rule - based knowledge plays an important role in the post-processing of the Knowledge Discovery from Databases. More and more interestingness measures are proposed by two approaches (subjective assessment and objective assessment), studying the properties or the attributes of the interestingness measures is important in understanding the nature of the objective interestingness measures. In this paper, we focus primarily on the objective interestingness measures to obtain a general view of recent researches on the nature of the objective interestingness measures, as well as complete a new classification on 109 selected objective interestingness measures on 6 criterions (independence, equilibrium, symmetry, variation, description, and statistics).
Authors and Affiliations
Lan Phuong Phan, Nghia Quoc Phan, Vinh Cong Phan, Hung Huu Huynh, Hiep Xuan Huynh, Fabrice Guillet
Keywords
Related Articles
- EP ID EP45786
- DOI http://dx.doi.org/10.4108/eai.12-9-2016.151678
- Views 266
- Downloads 0
A Combination of Off-line and On-line Learning to Classifier Grids for Object Detection
We propose a new method for object detection by combining off-line and on-line boosting learning to classifier grids based on visual information without human intervention concerned to intelligent surveillance system. It...
Real Time Burning Image Classification Using Support Vector Machine
Burning image classification is critical and attempted problems in medical image processing. This paper has proposed the real time image classification for burning image to automatically identify the degrees of burns in...
Visible Position Estimation in Whole Wrist Circumference Device towards Forearm Pose-aware Display
Smart watches allow instant access to information; however, the visual notiļ¬cation is not always reachable depending on the forearm posture. Flexible and curved display technologies can enable full-wrist circumference di...
Towards an Efficient Implementation of Human Activity Recognition for Mobile Devices
The availability of diverse and powerful sensors embedded in modern Smartphones/mobile devices has created exciting opportunities for developing context-aware applications. Although there is good capacity for collecting...
Document Level Sentiment Analysis: A survey
Sentiment analysis becomes a very active research area in the text mining field. It aims to extract people's opinions, sentiments, and subjectivity from the texts. Sentiment analysis can be performed at three levels: at...