Real World Data Mining Applications Real World Data Mining Applications

Real World Data Mining Applications

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Descripción editorial

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 forbreast 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

GÉNERO
Negocios y finanzas personales
PUBLICADO
2014
13 de noviembre
IDIOMA
EN
Inglés
EXTENSIÓN
434
Páginas
EDITORIAL
Springer International Publishing
VENDEDOR
Springer Nature B.V.
TAMAÑO
7.8
MB

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