Data Mining Special Issue in Annals of Information Systems

Data Mining Special Issue in Annals of Information Systems / edited by Robert Stahlbock, Sven F. Crone, Stefan Lessmann.

Over the course of the last twenty years, research in data mining has seen a substantial increase in interest, attracting original contributions from various disciplines including computer science, statistics, operations research, and information systems. Data mining supports a wide range of applica...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Stahlbock, Robert (Editor), Crone, Sven F. (Editor), Lessmann, Stefan (Editor)
Format: eBook
Language:English
Published: New York, NY : Springer US : Imprint: Springer, 2010.
Edition:1st ed. 2010.
Series:Annals of Information Systems, 8
Springer eBook Collection.
Subjects:
Data mining.
Operations research.
Decision making.
Business.
Management science.
Application software.
Engineering economics.
Engineering economy.
Statistics .
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:
  • Data Mining and Information Systems: Quo Vadis?
  • Confirmatory data analysis
  • Response-Based Segmentation Using Finite Mixture Partial Least Squares
  • Knowledge discovery from supervised learning
  • Building Acceptable Classification Models
  • Mining Interesting Rules Without Support Requirement: A General Universal Existential Upward Closure Property
  • Classification Techniques and Error Control in Logic Mining
  • Classification analysis
  • An Extended Study of the Discriminant Random Forest
  • Prediction with the SVM Using Test Point Margins
  • Effects of Oversampling Versus Cost-Sensitive Learning for Bayesian and SVM Classifiers
  • The Impact of Small Disjuncts on Classifier Learning
  • Hybrid data mining procedures
  • Predicting Customer Loyalty Labels in a Large Retail Database: A Case Study in Chile
  • PCA-based Time Series Similarity Search
  • Evolutionary Optimization of Least-Squares Support Vector Machines
  • Genetically Evolved kNN Ensembles
  • Web-mining
  • Behaviorally Founded Recommendation Algorithm for Browsing Assistance Systems
  • Using Web Text Mining to Predict Future Events: A Test of the Wisdom of Crowds Hypothesis
  • Privacy-preserving data mining
  • Avoiding Attribute Disclosure with the (Extended) p-Sensitive k-Anonymity Model
  • Privacy-Preserving Random Kernel Classification of Checkerboard Partitioned Data.

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