Real World Data Mining Applications

Real World Data Mining Applications edited by Mahmoud Abou-Nasr, Stefan Lessmann, Robert Stahlbock, Gary M. Weiss.

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 Techni...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Abou-Nasr, Mahmoud (Editor), Lessmann, Stefan (Editor), Stahlbock, Robert (Editor), Weiss, Gary M. (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edition:1st ed. 2015.
Series:Annals of Information Systems, 17
Springer eBook Collection.
Subjects:
Information technology.
Business—Data processing.
Operations research.
Decision making.
Data mining.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • 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.

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