Proposal of Chance Index in Co-occurrence Network

Takayama, Yukihiro; Saga, Ryosuke

doi:10.1541/ieejeiss.135.644

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2015

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“…To solve the problem, we have propose a chance index [5], which estimates whether a node is a chance in a co-occurrence network. Chance index quantitatively measures the degree of chance.…”

Section: Introductionmentioning

confidence: 99%

Improvement of Chance Index in Consideration of Cluster Information

Saga

Takayama

2015

Communications in Computer and Information Science

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This paper describes an improved chance index for chance discovery. A chance is an important event or circumstance that can be used by analysts to make decisions. Discovery chance, i.e., chance discovery, is important for knowledge to be used effectively in understanding the background and causes hidden in a dataset. However, chance discovery depends on analyst's inference. Therefore, we propose a chance index that quantitatively evaluates chance. The method is based on betweenness centrality and the strength of co-occurrence. This study improves the accuracy of chance index by considering cluster information.

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“…To solve the problem, we have propose a chance index [5], which estimates whether a node is a chance in a co-occurrence network. Chance index quantitatively measures the degree of chance.…”

Section: Introductionmentioning

confidence: 99%