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: Mining and Analyzing Social Networks
  name:
    name part: Ting, I-Hsien.
    role:
      role term: editor.
  name:
    name part: Wu, Hui-Ju.
    role:
      role term: editor.
  name:
    name part: Ho, Tien-Hwa.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2010
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: 200 p. 39 illus. in color. online resource.
  abstract: This book will focus upon Mining and Analyzing social network. Some chapters in this book are extended from the papers that pre-sented in MSNDS2009 (the First International Workshop on Mining Social Networks for Decision Support) and SNMABA2009 ((The International Workshop on Social Networks Mining and Analysis for Business Applications)). In addition, we also sent invitations to researchers that are famous in this research area to contribute for this book.
  table of contents: Graph Model for Pattern Recognition in Text -- Retrieving Wiki Content Using an Ontology -- Ego-Centric Network Sampling in Viral Marketing Applications -- Integrating SNA and DM Technology into HR Practice and Research: Layoff Prediction Model -- Actor Identification in Implicit Relational Data Sources -- Perception of Online Social Networks -- Ranking Learning Entities on the Web by Integrating Network-Based Features -- Discovering Proximal Social Intelligence for Quality Decision Support -- Discovering User Interests by Document Classification -- Network Analysis of Opto-Electronics Industry Cluster: A Case of Taiwan.
  note: edited by I-Hsien Ting, Hui-Ju Wu, Tien-Hwa Ho.
  subject:
    topic: Engineering
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computational intelligence
  subject:
    topic: Engineering
  subject:
    topic: Computational Intelligence
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  classification: Q342
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Studies in Computational Intelligence, 288
  identifier: 9783642134227
  identifier: http://dx.doi.org/10.1007/978-3-642-13422-7
  record info:
    record creation date: 100515
    record change date: 20151204182206.0
    record identifier: 978-3-642-13422-7