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: Temporal, Spatial, and Spatio-Temporal Data Mining
    sub title: First International Workshop TSDM 2000 Lyon, France, September 12, 2000 Revised Papers
  name:
    name part: Roddick, John F.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Hornsby, Kathleen.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2001
    edition: 1st ed. 2001.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: VIII, 172 p. online resource.
  abstract: This volume contains updated versions of the ten papers presented at the First International Workshop on Temporal, Spatial and Spatio-Temporal Data Mining (TSDM 2000) held in conjunction with the 4th European Conference on Prin- ples and Practice of Knowledge Discovery in Databases (PKDD 2000) in Lyons, France in September, 2000. The aim of the workshop was to bring together experts in the analysis of temporal and spatial data mining and knowledge discovery in temporal, spatial or spatio-temporal database systems as well as knowledge engineers and domain experts from allied disciplines. The workshop focused on research and practice of knowledge discovery from datasets containing explicit or implicit temporal, spatial or spatio-temporal information. The ten original papers in this volume represent those accepted by peer review following an international call for papers. All papers submitted were refereed by an international team of data mining researchers listed below. We would like to thank the team for their expert and useful help with this process. Following the workshop, authors were invited to amend their papers to enable the feedback received from the conference to be included in the ?nal papers appearing in this volume. A workshop report was compiled by Kathleen Hornsby which also discusses the panel session that was held.
  table of contents: Workshop Report - International Workshop on Temporal, Spatial, and Spatio-temporal Data Mining - TSDM2000 -- Discovering Temporal Patterns in Multiple Granularities -- Refined Time Stamps for Concept Drift Detection During Mining for Classification Rules -- K-Harmonic Means -A Spatial Clustering Algorithm with Boosting -- Identifying Temporal Patterns for Characterization and Prediction of Financial Time Series Events -- Value Range Queries on Earth Science Data via Histogram Clustering -- Fast Randomized Algorithms for Robust Estimation of Location -- Rough Sets in Spatio-temporal Data Mining -- Join Indices as a Tool for Spatial Data Mining -- Data Mining with Calendar Attributes -- AUTOCLUST+: Automatic Clustering of Point-Data Sets in the Presence of Obstacles -- An Updated Bibliography of Temporal, Spatial, and Spatio-temporal Data Mining Research.
  note: edited by John F. Roddick, Kathleen Hornsby.
  subject:
    topic: Database management
  subject:
    topic: Artificial intelligence
  subject:
    topic: Information storage and retrieval
  subject:
    topic: Application software
  subject:
    topic: Geographical information systems
  subject:
    topic: Database Management
  subject:
    topic: Artificial Intelligence
  subject:
    topic: Information Storage and Retrieval
  subject:
    topic: Information Systems Applications (incl. Internet)
  subject:
    topic: Geographical Information Systems/Cartography
  classification: QA76.9.D3
  classification: 005.74
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Lecture Notes in Artificial Intelligence ; 2007
  identifier: 9783540452447
  identifier: https://doi.org/10.1007/3-540-45244-3
  record info:
    record creation date: 121227
    record change date: 20191025091042.0
    record identifier: 978-3-540-45244-7