Advances in data mining. Industrial Conference on Data Mining最新文献

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Tracking Multiple Social Media for Stock Market Event Prediction 跟踪多个社交媒体以预测股市事件
Advances in data mining. Industrial Conference on Data Mining Pub Date : 2017-07-12 DOI: 10.1007/978-3-319-62701-4_2
Fang Jin, W. Wang, Prithwish Chakraborty, Nathan Self, F. Chen, Naren Ramakrishnan
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引用次数: 31
A Graph-Based Ranking Model for Automatic Keyphrases Extraction from Arabic Documents 基于图的阿拉伯语文档关键词自动提取排序模型
Advances in data mining. Industrial Conference on Data Mining Pub Date : 2017-07-12 DOI: 10.1007/978-3-319-62701-4_25
Mohamed Salim El Bazzi, D. Mammass, T. Zaki, A. Ennaji
{"title":"A Graph-Based Ranking Model for Automatic Keyphrases Extraction from Arabic Documents","authors":"Mohamed Salim El Bazzi, D. Mammass, T. Zaki, A. Ennaji","doi":"10.1007/978-3-319-62701-4_25","DOIUrl":"https://doi.org/10.1007/978-3-319-62701-4_25","url":null,"abstract":"","PeriodicalId":91437,"journal":{"name":"Advances in data mining. Industrial Conference on Data Mining","volume":"71 1","pages":"313-322"},"PeriodicalIF":0.0,"publicationDate":"2017-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91430752","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: 8
Real-Time Prediction of Styrene Production Volume Based on Machine Learning Algorithms 基于机器学习算法的苯乙烯产量实时预测
Advances in data mining. Industrial Conference on Data Mining Pub Date : 2017-07-12 DOI: 10.1007/978-3-319-62701-4_24
Yikai Wu, Fang Hou, Xiaopei Cheng
{"title":"Real-Time Prediction of Styrene Production Volume Based on Machine Learning Algorithms","authors":"Yikai Wu, Fang Hou, Xiaopei Cheng","doi":"10.1007/978-3-319-62701-4_24","DOIUrl":"https://doi.org/10.1007/978-3-319-62701-4_24","url":null,"abstract":"","PeriodicalId":91437,"journal":{"name":"Advances in data mining. Industrial Conference on Data Mining","volume":"30 1","pages":"301-312"},"PeriodicalIF":0.0,"publicationDate":"2017-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80289937","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: 2
Association Rule-based Classifier Using Artificial Missing Values 基于人工缺失值的关联规则分类器
Advances in data mining. Industrial Conference on Data Mining Pub Date : 2017-07-12 DOI: 10.1007/978-3-319-62701-4_5
K. Shimada, T. Arahira, T. Hanioka
{"title":"Association Rule-based Classifier Using Artificial Missing Values","authors":"K. Shimada, T. Arahira, T. Hanioka","doi":"10.1007/978-3-319-62701-4_5","DOIUrl":"https://doi.org/10.1007/978-3-319-62701-4_5","url":null,"abstract":"","PeriodicalId":91437,"journal":{"name":"Advances in data mining. Industrial Conference on Data Mining","volume":"179 1","pages":"57-67"},"PeriodicalIF":0.0,"publicationDate":"2017-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88467549","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
Interestingness Classification of Association Rules for Master Data 主数据关联规则的兴趣度分类
Advances in data mining. Industrial Conference on Data Mining Pub Date : 2017-07-12 DOI: 10.1007/978-3-319-62701-4_18
Wei Han, J. Borges, P. Neumayer, Yong Ding, T. Riedel, M. Beigl
{"title":"Interestingness Classification of Association Rules for Master Data","authors":"Wei Han, J. Borges, P. Neumayer, Yong Ding, T. Riedel, M. Beigl","doi":"10.1007/978-3-319-62701-4_18","DOIUrl":"https://doi.org/10.1007/978-3-319-62701-4_18","url":null,"abstract":"","PeriodicalId":91437,"journal":{"name":"Advances in data mining. Industrial Conference on Data Mining","volume":"1 1","pages":"237-245"},"PeriodicalIF":0.0,"publicationDate":"2017-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82727344","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: 5
Activity Prediction in Process Management Using the WoMan Framework 基于WoMan框架的流程管理活动预测
Advances in data mining. Industrial Conference on Data Mining Pub Date : 2017-07-12 DOI: 10.1007/978-3-319-62701-4_15
S. Ferilli, Domenico Redavid, Sergio Angelastro
{"title":"Activity Prediction in Process Management Using the WoMan Framework","authors":"S. Ferilli, Domenico Redavid, Sergio Angelastro","doi":"10.1007/978-3-319-62701-4_15","DOIUrl":"https://doi.org/10.1007/978-3-319-62701-4_15","url":null,"abstract":"","PeriodicalId":91437,"journal":{"name":"Advances in data mining. Industrial Conference on Data Mining","volume":"218 1","pages":"194-208"},"PeriodicalIF":0.0,"publicationDate":"2017-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76989267","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: 6
Smart Stores: A Scalable Foot Traffic Collection and Prediction System 智能商店:可扩展的客流量收集和预测系统
Advances in data mining. Industrial Conference on Data Mining Pub Date : 2017-07-12 DOI: 10.1007/978-3-319-62701-4_9
Soheila Abrishami, Piyush Kumar, Wickus Nienaber
{"title":"Smart Stores: A Scalable Foot Traffic Collection and Prediction System","authors":"Soheila Abrishami, Piyush Kumar, Wickus Nienaber","doi":"10.1007/978-3-319-62701-4_9","DOIUrl":"https://doi.org/10.1007/978-3-319-62701-4_9","url":null,"abstract":"","PeriodicalId":91437,"journal":{"name":"Advances in data mining. Industrial Conference on Data Mining","volume":"9 4 1","pages":"107-121"},"PeriodicalIF":0.0,"publicationDate":"2017-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78386110","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: 9
Ensemble Sales Forecasting Study in Semiconductor Industry 半导体行业整体销售预测研究
Advances in data mining. Industrial Conference on Data Mining Pub Date : 2017-04-28 DOI: 10.1007/978-3-319-62701-4_3
Qiuping Xu, V. Sharma
{"title":"Ensemble Sales Forecasting Study in Semiconductor Industry","authors":"Qiuping Xu, V. Sharma","doi":"10.1007/978-3-319-62701-4_3","DOIUrl":"https://doi.org/10.1007/978-3-319-62701-4_3","url":null,"abstract":"","PeriodicalId":91437,"journal":{"name":"Advances in data mining. Industrial Conference on Data Mining","volume":"266 1","pages":"31-44"},"PeriodicalIF":0.0,"publicationDate":"2017-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75773871","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: 3
Predicting Hospital Re-admissions from Nursing Care Data of Hospitalized Patients. 从住院病人护理资料预测再入院。
Advances in data mining. Industrial Conference on Data Mining Pub Date : 2017-01-01 Epub Date: 2017-07-01 DOI: 10.1007/978-3-319-62701-4_14
Muhammad K Lodhi, Rashid Ansari, Yingwei Yao, Gail M Keenan, Diana Wilkie, Ashfaq A Khokhar
{"title":"Predicting Hospital Re-admissions from Nursing Care Data of Hospitalized Patients.","authors":"Muhammad K Lodhi,&nbsp;Rashid Ansari,&nbsp;Yingwei Yao,&nbsp;Gail M Keenan,&nbsp;Diana Wilkie,&nbsp;Ashfaq A Khokhar","doi":"10.1007/978-3-319-62701-4_14","DOIUrl":"https://doi.org/10.1007/978-3-319-62701-4_14","url":null,"abstract":"<p><p>Readmission rates in the hospitals are increasingly being used as a benchmark to determine the quality of healthcare delivery to hospitalized patients. Around three-fourths of all hospital re-admissions can be avoided, saving billions of dollars. Many hospitals have now deployed electronic health record (EHR) systems that can be used to study issues that trigger readmission.However, most of the EHRs are high dimensional and sparsely populated, and analyzing such data sets is a Big Data challenge. The effect of some of the well-known dimension reduction techniques is minimized due to presence of non-linear variables. We use association mining as a dimension reduction method and the results are used to develop models, using data from an existing nursing EHR system, for predicting risk of re-admission to the hospitals. These models can help in determining effective treatments for patients to minimize the possibility of re-admission, bringing down the cost and increasing the quality of care provided to the patients. Results from the models show significantly accurate predictions of patient re-admission.</p>","PeriodicalId":91437,"journal":{"name":"Advances in data mining. Industrial Conference on Data Mining","volume":"2017 ","pages":"181-193"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/978-3-319-62701-4_14","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35573218","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 12
Domain Specific Feature Transfer for Hybrid Domain Adaptation 混合领域自适应的特定领域特征转移
Advances in data mining. Industrial Conference on Data Mining Pub Date : 2017-01-01 DOI: 10.1109/ICDM.2017.133
Pengfei Wei, Yiping Ke, C. Goh
{"title":"Domain Specific Feature Transfer for Hybrid Domain Adaptation","authors":"Pengfei Wei, Yiping Ke, C. Goh","doi":"10.1109/ICDM.2017.133","DOIUrl":"https://doi.org/10.1109/ICDM.2017.133","url":null,"abstract":"","PeriodicalId":91437,"journal":{"name":"Advances in data mining. Industrial Conference on Data Mining","volume":"126 1","pages":"1027-1032"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76746484","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: 3
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