Please use this identifier to cite or link to this item:
Title: Zeolite framework clustering based on data mining
Authors: Ruan, Weili
Keywords: DRNTU::Engineering::Materials
Issue Date: 2015
Abstract: As zeolite become more and more important in the society, the demand of zeolite greatly increased. Thousands of theoretical zeolite structures are suggested, only a few of them come into the world. The development of zeolite is still on the process. People try to come up with various ways to categorize zeolite for the ease of research and functionality. Data mining is a process that making use of artificial intelligent to find out the hidden rule of big bunch of data. It has been widely used in every industry. In this report we are using the clustering technique in data mining to cluster the different zeolite structures into respective framework type to prove that data mining technique can be used for material clustering. One of the most useful machine learning software Weka is used for the clustering in this report. By comparing some of the algorithm and input data set, better combination has been suggested for the framework type clustering.
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:MSE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
FYP REPORT - weili.pdf
  Restricted Access
FYP report2.8 MBAdobe PDFView/Open

Page view(s) 20

checked on Oct 26, 2020

Download(s) 20

checked on Oct 26, 2020

Google ScholarTM


Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.