Titlebook: Machine Learning and Data Mining in Pattern Recognition; 14th International C Petra Perner Conference proceedings 2018 Springer Internation

新字

痛打

Educational Data Mining: An Application of Regressors in Predicting School Dropout,d Support Vector Regression, to predict the results of school dropout in the Brazilian scenario. The development of the work followed the phases of CRISP-DM. The evaluation metric of the models is the mean of the absolute error. The results show more significant results for Support Vector Regression.

lesion

Conference proceedings 2018ly reviewed and selected from 298 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multi-media data types such as  image mining, text mining, video mining, and Web mining..

synchronous

0302-9743 pattern mining to specific data mining methods for the different multi-media data types such as  image mining, text mining, video mining, and Web mining..978-3-319-96132-3978-3-319-96133-0Series ISSN 0302-9743 Series E-ISSN 1611-3349

GLUT

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/m/image/620464.jpg

DOLT

Lipoma

类似思想

Machine Learning and Data Mining in Pattern Recognition978-3-319-96133-0Series ISSN 0302-9743 Series E-ISSN 1611-3349

商谈

切割

Fuzzy Networks Model, a Reliable Adoption in Corporations,tural solution to model the knowledge distributed within the members participating in all analysis and decision making tasks along the organization. Additionally, as proof of concept a prototype which capable of designing and simulating networks of fuzzy systems is presented based on the standard IE