Abou-Nasr M. et al (eds.) Real World Data Mining Applications

Springer, 2015. — 456 p. — (Annals of Information Systems). — ISBN: 9783319078113, EISBN: 9783319078120Abou-Nasr M., Lessmann S., Stahlbock R., Weiss G.M. (Eds.)Data mining applications range from commercial to social domains, with novel applications appearing swiftly; for example, within the context of social networks. The expanding application sphere and social reach of advanced data mining raise pertinent issues of privacy and security. Present-day data mining is a progressive multidisciplinary endeavor. This inter- and multidisciplinary approach is well reflected within the field of information systems. The information systems research addresses software and hardware requirements for supporting computationally and data-intensive applications. Furthermore, it encompasses analyzing system and data aspects, and all manual or automated activities. In that respect, research at the interface of information systems and data mining has significant potential to produce actionable knowledge vital for corporate decision-making. The aim of the proposed volume is to provide a balanced treatment of the latest advances and developments in data mining; in particular, exploring synergies at the intersection with information systems. It will serve as a platform for academics and practitioners to highlight their recent achievements and reveal potential opportunities in the field. Thanks to its multidisciplinary nature, the volume is expected to become a vital resource for a broad readership ranging from students, throughout engineers and developers, to researchers and academics.Mahmoud Abou-Nasr, Stefan Lessmann, Robert Stahlbock and Gary M.WeissEstablished Data Mining Tasks
Aaron Lai
What Data Scientists Can Learn from History
Eya Ben Ahmed, Ahlem Nabli and Faïez Gargouri
On Line Mining of Cyclic Association Rules From Parallel Dimension Hierarchies
Dharmveer Singh Rajput, Pramod Kumar Singh and Mahua Bhattacharya
PROFIT: A Projected Clustering Technique
Guangzhi Qu, Ishwar Sethi, Craig Hartrick and Hui Zhang
Multi-label Classification with a Constrained Minimum Cut Model
Ya Ju Fan and Chandrika Kamath
On the Selection of Dimension Reduction Techniques for Scientific Applications
Ryosuke Saga, Naoki Kaisaku and Hiroshi Tsuji
Relearning Process for SPRT in Structural Change Detection of Time-Series Data
Business and Management Tasks
Vincent Lemaire, Fabrice Clérot and Nicolas Creff
K-means Clustering on a Classifier-Induced Representation Space: Application to Customer Contact Personalization
Bernardete Ribeiro and Ning Chen
Dimensionality Reduction Using Graph Weighted Subspace Learning for Bankruptcy Prediction
Fraud Detection
Brendan Kitts, Jing Ying Zhang, Gang Wu, Wesley Brandi, Julien Beasley, Kieran Morrill, John Ettedgui, Sid Siddhartha, Hong Yuan, Feng Gao, Peter Azo and Raj Mahato
Click Fraud Detection: Adversarial Pattern Recognition over 5 Years at Microsoft
Kathryn Burn-Thornton and Tim Burman
A Novel Approach for Analysis of ‘RealWorld’ Data: A Data Mining Engine for Identification of Multi-author Student Document Submission
Kuo-Wei Hsu, Nishith Pathak, Jaideep Srivastava, Greg Tschida and Eric Bjorklund
Data Mining Based Tax Audit Selection: A Case Study of a Pilot Project at the Minnesota Department of Revenue
Medical Applications
Émilien Gauthier, Laurent Brisson, Philippe Lenca and Stéphane Ragusa
A Nearest Neighbor Approach to Build a Readable Risk Score for Breast Cancer
Yinghao Huang, Yi Lu Murphey, Naeem Seliya and Roy B. Friedenthal
Machine Learning for Medical Examination Report Processing
Engineering Tasks
Clifton Mortensen, Steve Gorrell, RobertWoodley and Michael Gosnell
Data Mining Vortex Cores Concurrent with Computational Fluid Dynamics Simulations
Richi Nayak and Aishwarya Bose
A Data Mining Based Method for Discovery of Web Services and their Compositions
Mahmoud Abou-Nasr, John Michelini and Dimitar Filev
Exploiting Terrain Information for Enhancing Fuel Economy of Cruising Vehicles by Supervised Training of Recurrent Neural Optimizers
Catherine Cheung, Julio J. Valdés and Matthew Li
Exploration of Flight State and Control System Parameters for Prediction of Helicopter Loads via Gamma Test and Machine Learning Techniques
Ismail El Sayad, Jean Martinet, Zhongfei (Mark) Zhang and Peter Eisert
Multilayer Semantic Analysis in Image Databases