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Machine Learning in Cancer Research With Applications in Colon Cancer and Big Data Analysis最新文献

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Methodology for the Research Conducted 所进行研究的方法
Machine Learning in Cancer Research With Applications in Colon Cancer and Big Data Analysis Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-7316-7.ch010
{"title":"Methodology for the Research Conducted","authors":"","doi":"10.4018/978-1-7998-7316-7.ch010","DOIUrl":"https://doi.org/10.4018/978-1-7998-7316-7.ch010","url":null,"abstract":"This chapter describes and discusses a combination of research methodologies (e.g., experimental, theoretical, and systems design) used in this research, allowing us to eliminate as much as possible every limitation that can be encountered with the individual methods themselves. For example, experimental research methodology has a limitation because the experiments are performed mainly in a controlled environment and might not reflect properly some practices performed ‘in the wild'. But combining this with some survey and prototype (system's) design reduced such limitations. The knowledge gained from carrying out preliminary experimentation is used in the next chapter to design and model the Hybrid-AutoML system.","PeriodicalId":134297,"journal":{"name":"Machine Learning in Cancer Research With Applications in Colon Cancer and Big Data Analysis","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115564985","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}
引用次数: 0
Final Remarks and Further Work for the Hybrid-AutoML System 对混合-自动驾驶系统的最后评述和进一步工作
Machine Learning in Cancer Research With Applications in Colon Cancer and Big Data Analysis Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-7316-7.ch013
{"title":"Final Remarks and Further Work for the Hybrid-AutoML System","authors":"","doi":"10.4018/978-1-7998-7316-7.ch013","DOIUrl":"https://doi.org/10.4018/978-1-7998-7316-7.ch013","url":null,"abstract":"This chapter addresses that the various use cases have proved that the aims and contributions of this research to conceptualise, design, and develop a scalable and flexible toolkit for automatic big data ML mode and model selection, on single or multi-varying datasets has been achieved. A major benefit of the hybrid-autoML toolkit is that it reduces the time data scientists and researchers in the field spend, searching through the algorithm selections and hyper parameter space. This advantage was discussed in Section 5.2 where the authors compared the hybrid-autoML tool with autoWeka on about 35 datasets using measures such as accuracy, mean absolute error (MAE), and time.","PeriodicalId":134297,"journal":{"name":"Machine Learning in Cancer Research With Applications in Colon Cancer and Big Data Analysis","volume":"05 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127195069","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}
引用次数: 0
Importance of Research Into Big Data With Machine Learning Approach 用机器学习方法研究大数据的重要性
Machine Learning in Cancer Research With Applications in Colon Cancer and Big Data Analysis Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-7316-7.ch008
{"title":"Importance of Research Into Big Data With Machine Learning Approach","authors":"","doi":"10.4018/978-1-7998-7316-7.ch008","DOIUrl":"https://doi.org/10.4018/978-1-7998-7316-7.ch008","url":null,"abstract":"This chapter provides some background information, highlights the motivations and problems resolved, and then discusses the aims and contributions of the research conducted. Over the past decades, there has been an explosion in the volume, variety, and velocity of data. Offering effective solutions as a resolution of some major problems this explosion brings has become ever more important. One such solution is big data machine learning (ML) classification or clustering. However, with the solutions offered, we are faced with several problems that include but are not limited to the context.","PeriodicalId":134297,"journal":{"name":"Machine Learning in Cancer Research With Applications in Colon Cancer and Big Data Analysis","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133779655","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}
引用次数: 0
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