Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Swee Chuan Tan"'
Publikováno v:
Malaysian Journal of Computing, Vol 2, Iss 2, Pp 13-33 (2014)
Many real-world data sets exhibit imbalanced class distributions in which almost all instances are assigned to one class and far fewer instances to a smaller, yet usually interesting class. Building classification models from such imbalanced data set
Externí odkaz:
https://doaj.org/article/a49d4a7883574332b20af00688991995
Autor:
Swee Chuan Tan, Meng Yew Tee
Publikováno v:
Interdisciplinary Journal of Problem-Based Learning. 15
Collaboration is an essential part of problem-based learning (PBL), but detailed understanding about how interaction between PBL participants leads to co-construction of knowledge is still quite scarce. This study attempted to address this issue by a
Autor:
Swee Chuan Tan
Publikováno v:
Proceedings of the 2019 International Conference on E-Business and E-commerce Engineering.
This paper presents a conceptual framework for developing and implementing visual analytics capabilities for operational processes. The framework has three key aspects. Firstly, the inputs, resources, and outputs of an operational process are to be d
Autor:
Swee Chuan Tan, Jeksen Tan
Publikováno v:
Pattern Recognition Letters. 106:7-12
Star Coordinate Plot is a simple and efficient technique for visualizing multidimensional data. Since the proposal of this method in early 2000, several researchers have attempted to address its weakness of tending to project data points toward the o
Autor:
Swee Chuan Tan, Jeksen Tan
Publikováno v:
ICCS
The Star Coordinate Plot is a simple and efficient technique for visualizing multidimensional data. Since the proposal of this method in early 2000, several researchers have attempted to address its weakness of tending to project data points towards
Autor:
Swee Chuan Tan
Publikováno v:
2018 International Conference on Intelligent and Innovative Computing Applications (ICONIC).
Association rule mining is an important data mining technique that help discover interesting attribute relationships that are useful for decision making. Most association rule mining methods use item-set manipulation approach, whereby data type must
Autor:
Swee Chuan Tan, Schumann Tong Wei Kit
Publikováno v:
2016 International Conference on Advanced Mechatronic Systems (ICAMechS).
This paper presents a data analytics approach for recovering test-pad information from images of printed circuit boards. The main aim is to obtain highly accurate information as input to a robotic flying probe tester. Such a tester is a mechatronic s
Publikováno v:
Machine Learning. 90:127-160
This paper introduces mass estimation--a base modelling mechanism that can be employed to solve various tasks in machine learning. We present the theoretical basis of mass and efficient methods to estimate mass. We show that mass estimation solves pr
Autor:
Swee Chuan Tan
Publikováno v:
2015 4th International Conference on Advanced Computer Science Applications and Technologies (ACSAT).
Irrelevant attributes in real-world data sets are known to affect data mining performance as well as making a model to become opaque and hard to interpret. In supervised learning, the problem of attribute selection is commonly solved using the Superv