{"title":"DATA REDUCTION","authors":"I. Avilez","doi":"10.1002/9781119516057.ch3","DOIUrl":"https://doi.org/10.1002/9781119516057.ch3","url":null,"abstract":"1) Make sure that the raw data from the night of observing is in the “indata” directory. You can make a directory named “indata” if there is not one already, just make sure it is in the parent directory called “plp-domeflat”. Inside this directory, you can create a directory that has the date of the observation, and put the raw data inside there. For this example we will be using the directory name “20160926”, which we will use in a few different places.","PeriodicalId":91437,"journal":{"name":"Advances in data mining. Industrial Conference on Data Mining","volume":"227 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77000797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"INDEX","authors":"","doi":"10.1002/9781119516057.index","DOIUrl":"https://doi.org/10.1002/9781119516057.index","url":null,"abstract":"","PeriodicalId":91437,"journal":{"name":"Advances in data mining. Industrial Conference on Data Mining","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78698948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"VISUALIZATION METHODS","authors":"V. Kolupaev","doi":"10.1007/978-3-319-73049-3_3","DOIUrl":"https://doi.org/10.1007/978-3-319-73049-3_3","url":null,"abstract":"","PeriodicalId":91437,"journal":{"name":"Advances in data mining. Industrial Conference on Data Mining","volume":"16 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86220929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"APPENDIX B: DATA‐MINING APPLICATIONS","authors":"","doi":"10.1002/9781119516057.app2","DOIUrl":"https://doi.org/10.1002/9781119516057.app2","url":null,"abstract":"","PeriodicalId":91437,"journal":{"name":"Advances in data mining. Industrial Conference on Data Mining","volume":"22 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89329384","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"APPENDIX A: INFORMATION ON DATA MINING","authors":"","doi":"10.1002/9781119516057.app1","DOIUrl":"https://doi.org/10.1002/9781119516057.app1","url":null,"abstract":"","PeriodicalId":91437,"journal":{"name":"Advances in data mining. Industrial Conference on Data Mining","volume":"81 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83895453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Warren Jin, Phoebe Chen, A. Cuzzocrea, Xiaoyong Du, Orhun Kara, Ting Liu, K. Sivalingam, D. Ślęzak, T. Washio, Xiaokang Yang, Junsong Yuan, Simone Diniz Junqueira Barbosa, T. Le, K. Ong, Yanchang Zhao, Sebastien Wong, Lin Liu
{"title":"Data Mining: 17th Australasian Conference, AusDM 2019, Adelaide, SA, Australia, December 2–5, 2019, Proceedings","authors":"Warren Jin, Phoebe Chen, A. Cuzzocrea, Xiaoyong Du, Orhun Kara, Ting Liu, K. Sivalingam, D. Ślęzak, T. Washio, Xiaokang Yang, Junsong Yuan, Simone Diniz Junqueira Barbosa, T. Le, K. Ong, Yanchang Zhao, Sebastien Wong, Lin Liu","doi":"10.1007/978-981-15-1699-3","DOIUrl":"https://doi.org/10.1007/978-981-15-1699-3","url":null,"abstract":"","PeriodicalId":91437,"journal":{"name":"Advances in data mining. Industrial Conference on Data Mining","volume":"18 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75285917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Landscape of Practical Blockchain Systems and their Applications","authors":"C. Mohan","doi":"10.1109/ICDM.2018.00010","DOIUrl":"https://doi.org/10.1109/ICDM.2018.00010","url":null,"abstract":"","PeriodicalId":91437,"journal":{"name":"Advances in data mining. Industrial Conference on Data Mining","volume":"50 1","pages":"3-4"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87017789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Automatic Optical Coherence Tomography Imaging Analysis for Retinal Disease Screening Using Machine Learning Techniques","authors":"R. Kotagiri","doi":"10.1109/ICDM.2018.00011","DOIUrl":"https://doi.org/10.1109/ICDM.2018.00011","url":null,"abstract":"","PeriodicalId":91437,"journal":{"name":"Advances in data mining. Industrial Conference on Data Mining","volume":"32 1","pages":"5"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81142242","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"GENETIC ALGORITHMS","authors":"Konar Amit","doi":"10.1201/9781315219738-15","DOIUrl":"https://doi.org/10.1201/9781315219738-15","url":null,"abstract":"","PeriodicalId":91437,"journal":{"name":"Advances in data mining. Industrial Conference on Data Mining","volume":"318 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75438316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Estimating Customer Lifetime Value Using Machine Learning Techniques","authors":"Sien Chen","doi":"10.5772/INTECHOPEN.76990","DOIUrl":"https://doi.org/10.5772/INTECHOPEN.76990","url":null,"abstract":"With the rapid development of civil aviation industry, high-quality customer resources have become a significant way to measure the competitiveness of the civil aviation industry. It is well known that the competition for high-value customers has become the core of airline profits. The research of airline customer lifetime value can help airlines identify high-value, medium-value and low-value travellers. What is more, the airline company can make resource allocation more rational, with the least resource investment for maximum profit return. However, the models that are used to calculate the value of customer life value remain controversial, and how to design a model that applies to airline company still needs to be explored. In the paper, the author proposed the optimised China Eastern Airlines passenger network value assessment model and examined its fitting degree with the TravelSky value score. Besides, the author combines China Eastern Airlines passenger network value assess- ment model score with loss model score to help airlines find their significant customers. estimation research. After that, a numeral case of China Eastern Airlines was given to show the practicability and veracity of China Eastern Airlines passenger network value assessment model with assessing their fitting accuracy rate with the TravelSky value score. The ambition is combining forecast value score calculated by China Eastern Airlines passenger network value assessment model with loss model score to select the critical population.","PeriodicalId":91437,"journal":{"name":"Advances in data mining. Industrial Conference on Data Mining","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81700904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}