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Real World Data Mining Applications

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Cover of 'Real World Data Mining Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 What Data Scientists Can Learn from History
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    Chapter 3 On Line Mining of Cyclic Association Rules From Parallel Dimension Hierarchies
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    Chapter 4 PROFIT: A Projected Clustering Technique
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    Chapter 5 Multi-label Classification with a Constrained Minimum Cut Model
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    Chapter 6 On the Selection of Dimension Reduction Techniques for Scientific Applications
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    Chapter 7 Relearning Process for SPRT in Structural Change Detection of Time-Series Data
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    Chapter 8 K -means Clustering on a Classifier-Induced Representation Space: Application to Customer Contact Personalization
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    Chapter 9 Dimensionality Reduction Using Graph Weighted Subspace Learning for Bankruptcy Prediction
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    Chapter 10 Click Fraud Detection: Adversarial Pattern Recognition over 5 Years at Microsoft
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    Chapter 11 A Novel Approach for Analysis of ‘Real World’ Data: A Data Mining Engine for Identification of Multi-author Student Document Submission
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    Chapter 12 Data Mining Based Tax Audit Selection: A Case Study of a Pilot Project at the Minnesota Department of Revenue
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    Chapter 13 A Nearest Neighbor Approach to Build a Readable Risk Score for Breast Cancer
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    Chapter 14 Machine Learning for Medical Examination Report Processing
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    Chapter 15 Data Mining Vortex Cores Concurrent with Computational Fluid Dynamics Simulations
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    Chapter 16 Real World Data Mining Applications
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    Chapter 17 Exploiting Terrain Information for Enhancing Fuel Economy of Cruising Vehicles by Supervised Training of Recurrent Neural Optimizers
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    Chapter 18 Exploration of Flight State and Control System Parameters for Prediction of Helicopter Loads via Gamma Test and Machine Learning Techniques
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    Chapter 19 Multilayer Semantic Analysis in Image Databases
Attention for Chapter 3: On Line Mining of Cyclic Association Rules From Parallel Dimension Hierarchies
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Chapter title
On Line Mining of Cyclic Association Rules From Parallel Dimension Hierarchies
Chapter number 3
Book title
Real World Data Mining Applications
Published by
Springer, Cham, January 2015
DOI 10.1007/978-3-319-07812-0_3
Book ISBNs
978-3-31-907811-3, 978-3-31-907812-0
Authors

Eya Ben Ahmed, Ahlem Nabli, Faïez Gargouri

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 50%
Student > Master 1 50%
Readers by discipline Count As %
Computer Science 2 100%