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Introduction Mahmoud Abou-Nasr, Stefan Lessmann. Robert Stahlbock, Gary M. Weiss   What Data Scientists can Learn from History Aaron Lai   On Line Mining of Cyclic Association Rules From Parallel Dimension Hierarchies Eya Ben Ahmed, Ahlem Nabli, Faıez Gargouri   PROFIT: A Projected Clustering Technique Dharmveer Singh Rajput, Pramod Kumar Singh, Mahua Bhattacharya   Multi-Label Classification with a Constrained Minimum Cut Model Guangzhi Qu, Ishwar Sethi, Craig Hartrick, Hui Zhang   On the Selection of Dimension Reduction Techniques for Scientific Applications Ya Ju Fan, Chandrika Kamath   Relearning Process for SPRT in Structural Change Detection of Time-Series Data Ryosuke Saga, Naoki Kaisaku, Hiroshi Tsuji   K-means clustering on a classifier-induced representation space: application to customer contact personalization Vincent Lemaire, Fabrice Clerot, Nicolas Creff   Dimensionality Reduction using Graph Weighted Subspace Learning for Bankruptcy Prediction Bernardete Ribeiro, Ning Chen   Click Fraud Detection: Adversarial Pattern Recognition over 5 Years at Microsoft Brendan Kitts, Jing Ying Zhang, Gang Wu, Wesley Brandi, Julien Beasley, Kieran Morrill, John Ettedgui, Sid Siddhartha, Hong Yuan, Feng Gao, Peter Azo, Raj Mahato   A Novel Approach for Analysis of ’Real World’ Data: A Data Mining Engine for Identification of Multi-author Student Document Submission Kathryn Burn-Thornton, Tim Burman   Data Mining Based Tax Audit Selection: A Case Study of a Pilot Project at the Minnesota Department of Revenue Kuo-Wei Hsu, Nishith Pathak, Jaideep Srivastava, Greg Tschida, Eric Bjorklund   A nearest neighbor approach to build a readable risk score for breast cancer Emilien Gauthier, Laurent Brisson, Philippe Lenca, Stephane Ragusa   Machine Learning for Medical Examination Report Processing Yinghao Huang, Yi Lu Murphey, Naeem Seliya, Roy B. Friedenthal   Data Mining Vortex Cores Concurrent with Computational Fluid Dynamics Simulations Clifton Mortensen, Steve Gorrell, Robert Woodley, Michael Gosnell   A Data Mining Based Method for Discovery of Web Services and their Compositions Richi Nayak, Aishwarya Bose   Exploiting Terrain Information for Enhancing Fuel Economy of Cruising Vehicles by Supervised Training of Recurrent Neural Optimizers Mahmoud Abou-Nasr, John Michelini, Dimitar Filev   Exploration of Flight State and Control System Parameters for Prediction of Helicopter Loads via Gamma Test and Machine Learning Techniques Catherine Cheung, Julio J. Valdes, Matthew Li   Multilayer Semantic Analysis In Image Databases Ismail El Sayad, Jean Martinet, Zhongfei (Mark) Zhang, Peter Eisert  .

Economics/Management Science. --- Business Information Systems. --- Operation Research/Decision Theory. --- Data Mining and Knowledge Discovery. --- Economics. --- Data mining. --- Operations research. --- Management information systems. --- Economie politique --- Exploration de données (Informatique) --- Recherche opérationnelle --- Informatique de gestion --- Commerce --- Business & Economics --- Commerce - General --- Data mining --- Computer programs. --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Business. --- Decision making. --- Information technology. --- Business --- Business and Management. --- IT in Business. --- Data processing. --- Database searching --- Operations Research/Decision Theory. --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- IT (Information technology) --- Technology --- Telematics --- Information superhighway --- Knowledge management --- Business—Data processing. --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management --- Management decisions --- Choice (Psychology) --- Problem solving --- Decision making

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Introduction Mahmoud Abou-Nasr, Stefan Lessmann. Robert Stahlbock, Gary M. Weiss What Data Scientists can Learn from History Aaron Lai On Line Mining of Cyclic Association Rules From Parallel Dimension Hierarchies Eya Ben Ahmed, Ahlem Nabli, Faıez Gargouri PROFIT: A Projected Clustering Technique Dharmveer Singh Rajput, Pramod Kumar Singh, Mahua Bhattacharya Multi-Label Classification with a Constrained Minimum Cut Model Guangzhi Qu, Ishwar Sethi, Craig Hartrick, Hui Zhang On the Selection of Dimension Reduction Techniques for Scientific Applications Ya Ju Fan, Chandrika Kamath Relearning Process for SPRT in Structural Change Detection of Time-Series Data Ryosuke Saga, Naoki Kaisaku, Hiroshi Tsuji K-means clustering on a classifier-induced representation space: application to customer contact personalization Vincent Lemaire, Fabrice Clerot, Nicolas Creff Dimensionality Reduction using Graph Weighted Subspace Learning for Bankruptcy Prediction Bernardete Ribeiro, Ning Chen Click Fraud Detection: Adversarial Pattern Recognition over 5 Years at Microsoft Brendan Kitts, Jing Ying Zhang, Gang Wu, Wesley Brandi, Julien Beasley, Kieran Morrill, John Ettedgui, Sid Siddhartha, Hong Yuan, Feng Gao, Peter Azo, Raj Mahato A Novel Approach for Analysis of ’Real World’ Data: A Data Mining Engine for Identification of Multi-author Student Document Submission Kathryn Burn-Thornton, Tim Burman Data Mining Based Tax Audit Selection: A Case Study of a Pilot Project at the Minnesota Department of Revenue Kuo-Wei Hsu, Nishith Pathak, Jaideep Srivastava, Greg Tschida, Eric Bjorklund A nearest neighbor approach to build a readable risk score for breast cancer Emilien Gauthier, Laurent Brisson, Philippe Lenca, Stephane Ragusa Machine Learning for Medical Examination Report Processing Yinghao Huang, Yi Lu Murphey, Naeem Seliya, Roy B. Friedenthal Data Mining Vortex Cores Concurrent with Computational Fluid Dynamics Simulations Clifton Mortensen, Steve Gorrell, Robert Woodley, Michael Gosnell A Data Mining Based Method for Discovery of Web Services and their Compositions Richi Nayak, Aishwarya Bose Exploiting Terrain Information for Enhancing Fuel Economy of Cruising Vehicles by Supervised Training of Recurrent Neural Optimizers Mahmoud Abou-Nasr, John Michelini, Dimitar Filev Exploration of Flight State and Control System Parameters for Prediction of Helicopter Loads via Gamma Test and Machine Learning Techniques Catherine Cheung, Julio J. Valdes, Matthew Li Multilayer Semantic Analysis In Image Databases Ismail El Sayad, Jean Martinet, Zhongfei (Mark) Zhang, Peter Eisert .

Operational research. Game theory --- Mathematical statistics --- Business policy --- Planning (firm) --- Business management --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- ICT (informatie- en communicatietechnieken) --- datamining --- besluitvorming --- mathematische modellen --- organisatiecultuur --- speltheorie --- informatietechnologie --- econometrie --- operationeel onderzoek --- data acquisition

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The book presents the proceedings of two conferences: the 16th International Conference on Data Science (ICDATA 2020) and the 19th International Conference on Information & Knowledge Engineering (IKE 2020), which took place in Las Vegas, NV, USA, July 27-30, 2020. The conferences are part of the larger 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20), which features 20 major tracks. Papers cover all aspects of Data Science, Data Mining, Machine Learning, Artificial and Computational Intelligence (ICDATA) and Information Retrieval Systems, Information & Knowledge Engineering, Management and Cyber-Learning (IKE). Authors include academics, researchers, professionals, and students. Presents the proceedings of the 16th International Conference on Data Science (ICDATA 2020) and the 19th International Conference on Information & Knowledge Engineering (IKE 2020); Includes papers on topics from data mining to machine learning to informational retrieval systems; Authors include academics, researchers, professionals and students.

Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- neuronale netwerken --- fuzzy logic --- cybernetica --- KBS (knowledge based system) --- datamining --- KI (kunstmatige intelligentie) --- data acquisition --- AI (artificiële intelligentie)

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Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- neuronale netwerken --- fuzzy logic --- cybernetica --- KBS (knowledge based system) --- datamining --- KI (kunstmatige intelligentie) --- data acquisition