Zeolite framework clustering based on data mining
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 categor...
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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2015
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| Online Access: | http://hdl.handle.net/10356/62357 |
| _version_ | 1826122004739129344 |
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| author | Ruan, Weili |
| author2 | Lu Yi Hua |
| author_facet | Lu Yi Hua Ruan, Weili |
| author_sort | Ruan, Weili |
| collection | NTU |
| description | 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. |
| first_indexed | 2024-10-01T05:41:25Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/62357 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:41:25Z |
| publishDate | 2015 |
| record_format | dspace |
| spelling | ntu-10356/623572023-03-04T15:37:48Z Zeolite framework clustering based on data mining Ruan, Weili Lu Yi Hua Su Haibin School of Materials Science and Engineering DRNTU::Engineering::Materials 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. Bachelor of Engineering (Materials Engineering) 2015-03-23T09:19:03Z 2015-03-23T09:19:03Z 2015 2015 Final Year Project (FYP) http://hdl.handle.net/10356/62357 en Nanyang Technological University 37 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Materials Ruan, Weili Zeolite framework clustering based on data mining |
| title | Zeolite framework clustering based on data mining |
| title_full | Zeolite framework clustering based on data mining |
| title_fullStr | Zeolite framework clustering based on data mining |
| title_full_unstemmed | Zeolite framework clustering based on data mining |
| title_short | Zeolite framework clustering based on data mining |
| title_sort | zeolite framework clustering based on data mining |
| topic | DRNTU::Engineering::Materials |
| url | http://hdl.handle.net/10356/62357 |
| work_keys_str_mv | AT ruanweili zeoliteframeworkclusteringbasedondatamining |