rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Data Mining
    sub title: Special Issue in Annals of Information Systems
  name:
    name part: Stahlbock, Robert.
    role:
      role term: editor.
  name:
    name part: Crone, Sven F.
    role:
      role term: editor.
  name:
    name part: Lessmann, Stefan.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2010
    edition: 1.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIII, 387 p. online resource.
  abstract: 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 applications, from medical decision making, bioinformatics, web-usage mining, and text and image recognition to prominent business applications in corporate planning, direct marketing, and credit scoring. Research in information systems equally reflects this inter- and multidisciplinary approach, thereby advocating a series of papers at the intersection of data mining and information systems research. This special issue of Annals of Information Systems contains original papers and substantial extensions of selected papers from the 2007 and 2008 International Conference on Data Mining (DMIN’07 and DMIN’08, Las Vegas, NV) that have been rigorously peer-reviewed. The issue brings together topics on both information systems and data mining, and aims to give the reader a current snapshot of the contemporary research and state of the art practice in data mining.
  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.
  note: edited by Robert Stahlbock, Sven F. Crone, Stefan Lessmann.
  subject:
    topic: Computer science
  subject:
    topic: Business
  subject:
    topic: Management science
  subject:
    topic: Operations research
  subject:
    topic: Decision making
  subject:
    topic: Data mining
  subject:
    topic: Statistics
  subject:
    topic: Engineering economics
  subject:
    topic: Engineering economy
  subject:
    topic: Computer Science
  subject:
    topic: Data Mining and Knowledge Discovery
  subject:
    topic: Operation Research/Decision Theory
  subject:
    topic: Business and Management, general
  subject:
    topic: Information Systems Applications (incl. Internet)
  subject:
    topic: Engineering Economics, Organization, Logistics, Marketing
  subject:
    topic: Statistics for Business/Economics/Mathematical Finance/Insurance
  classification: QA76.9.D343
  classification: 006.312
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Annals of Information Systems, 8
  identifier: 9781441912800
  identifier: http://dx.doi.org/10.1007/978-1-4419-1280-0
  record info:
    record creation date: 100301
    record change date: 20151204171151.0
    record identifier: 978-1-4419-1280-0