http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
XVI, 418 p. 144 illus., 96 illus. in color. online resource.
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 .
Introduction -- What Data Scientists can Learn from History -- On Line Mining of Cyclic Association Rules From Parallel Dimension Hierarchies -- PROFIT: A Projected Clustering Technique -- Multi-Label Classification with a Constrained Minimum Cut Model -- On the Selection of Dimension Reduction Techniques for Scientific Applications -- Relearning Process for SPRT In Structural Change Detection of Time-Series Data -- K-means clustering on a classifier-induced representation space: application to customer contact personalization -- Dimensionality Reduction using Graph Weighted Subspace Learning for Bankruptcy Prediction -- Click Fraud Detection: Adversarial Pattern Recognition over 5 years at Microsoft -- A Novel Approach for Analysis of 'Real World' Data: A Data Mining Engine for Identification of Multi-author Student Document Submission -- Data Mining Based Tax Audit Selection: A Case Study of a Pilot Project at the Minnesota Department of Revenue -- A nearest neighbor approach to build a readable risk score for breast cancer -- Machine Learning for Medical Examination Report Processing -- Data Mining Vortex Cores Concurrent with Computational Fluid Dynamics Simulations -- A Data Mining Based Method for Discovery of Web Services and their Compositions -- Exploiting Terrain Information for Enhancing Fuel Economy of Cruising Vehicles by Supervised Training of Recurrent Neural Optimizers -- Exploration of Flight State and Control System Parameters for Prediction of Helicopter Loads via Gamma Test and Machine Learning Techniques -- Multilayer Semantic Analysis In Image Databases.
edited by Mahmoud Abou-Nasr, Stefan Lessmann, Robert Stahlbock, Gary M. Weiss.