Research of Mining Algorithm Based on 1NF Strongly Correlated Item Pair

2011 ◽  
Author(s):  
Luo Mingying
Keyword(s):  
Strongly Correlated ◽  
Item Pair ◽  
Mining Algorithm

Top-K Strongly Related Projects Pairs Mining Algorithm Based on Threshold Estimate

2011 ◽  
Vol 268-270 ◽  
pp. 1103-1109
Author(s):  
Ming Ying Luo
Keyword(s):  
Relational Database ◽  
Structural Information ◽  
Computational Cost ◽  
Threshold Estimate ◽  
Strongly Correlated ◽  
Effective Threshold ◽  
Mining Algorithm ◽  
Mining Projects ◽  
Candidate Set

This paper presents a candidate set in the case does not produce only scan through a database to extract the top-k strongly correlated item pairs method. Secondly, the structural information using a relational database, an appropriate estimate of the effective threshold, so that the results of K contains at least one project to effectively address the relational database on the Top-K strongly related to the problem of mining projects, and without Pay too much computational cost.

The Concurrent Validity of the Minnesota Child Development Inventory as a Measure of Young Children's Language Development

1989 ◽  
Vol 54 (1) ◽  
pp. 101-105 ◽  
Author(s):  
J. Bruce Tomblin ◽  
Cynthia M. Shonrock ◽  
James C. Hardy
Keyword(s):  
Child Development ◽  
Language Development ◽  
Expressive Language ◽  
Strong Predictor ◽  
Receptive Language ◽  
Strongly Correlated ◽  
Language Measure ◽  
The Mean ◽  
Child Development Inventory ◽  
Mean Length Of Utterance

The extent to which the Minnesota Child Development Inventory (MCDI), could be used to estimate levels of language development in 2-year-old children was examined. Fifty-seven children between 23 and 28 months were given the Sequenced Inventory of Communication Development (SICD), and at the same time a parent completed the MCDI. In addition the mean length of utterance (MLU) was obtained for each child from a spontaneous speech sample. The MCDI Expressive Language scale was found to be a strong predictor of both the SICD Expressive scale and MLU. The MCDI Comprehension-Conceptual scale, presumably a receptive language measure, was moderately correlated with the SICD Receptive scale; however, it was also strongly correlated with the expressive measures. These results demonstrated that the Expressive Language scale of the MCDI was a valid predictor of expressive language for 2-year-old children. The MCDI Comprehension-Conceptual scale appeared to assess both receptive and expressive language, thus complicating its interpretation.

New research frameworks in the study of chimpanzee and gorilla sociality and communication

2019 ◽  
Author(s):  
Sam G. B. Roberts ◽  
Anna Roberts
Keyword(s):  
Social Evolution ◽  
Social Complexity ◽  
Brain Size ◽  
Social Systems ◽  
Strongly Correlated ◽  
The Social ◽  
Human Social Evolution ◽  
Research Frameworks ◽  
New Research ◽  
Large Groups

Group size in primates is strongly correlated with brain size, but exactly what makes larger groups more ‘socially complex’ than smaller groups is still poorly understood. Chimpanzees (Pan troglodytes) and gorillas (Gorilla gorilla) are among our closest living relatives and are excellent model species to investigate patterns of sociality and social complexity in primates, and to inform models of human social evolution. The aim of this paper is to propose new research frameworks, particularly the use of social network analysis, to examine how social structure differs in small, medium and large groups of chimpanzees and gorillas, to explore what makes larger groups more socially complex than smaller groups. Given a fission-fusion system is likely to have characterised hominins, a comparison of the social complexity involved in fission-fusion and more stable social systems is likely to provide important new insights into human social evolution

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