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 272
- Downloads 0
Internet of Thing Context Awareness Model
This paper aims to address key concept of context awareness in the Internet of Things (IoT) domain by providing a model that proactively monitors behaviour of devices and services. This concept represents context into tw...
Towards a Context-Aware Framework for Improving Collaboration of Users in Groupware Systems
A Context-Aware Groupware System (CAGS) enables the members of a team to communicate, cooperate and coordinate their activities to achieve a common goal, by providing them tools that are aware of their current execution...
Hybrid Algorithms of Whale optimization algorithm and k-nearest neighbor to Predict the liver disease
Liver Disease is one of the most common diseases which can be prevented by early diagnosis and up-todate treatment. Advances in machine learning and intelligence techniques have led to the effective diagnosis and predicti...
Coupling equation based models and agent-based models: example of a multi-strains and switch SIR toy model
Modeling in ecol ogy or epidemiol ogy gener all y opposes tw o classes of models, Equa tion Based Models and Agent Based Models. Mathema tical models all ow predicting the long- term dynamics of the studied systems. How...
Hidden Markov Model for recognition of skeletal databased hand movement gestures
The development of computing technology provides more and more methods for human-computer interaction applications. The gesture or motion of a human hand is considered as one of the most basic communications for interact...