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: Foundations of data quality management
  title info:
    title: Synthesis digital library of engineering and computer science
  name:
    name part: Fan, Wenfei.
    role:
      role term: creator
  name:
    name part: Geerts, Floris.
  type of resource: text
  genre: abstract or summary
  genre: Electronic books.
  origin info:
    place:
      place term: cau
    date issued: 2012
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (xv, 201 pages) : illustrations
  abstract: Data quality is one of the most important problems in data management. A database system typically aims to support the creation, maintenance, and use of large amount of data, focusing on the quantity of data. However, real-life data are often dirty: inconsistent, duplicated, inaccurate, incomplete, or stale. Dirty data in a database routinely generate misleading or biased analytical results and decisions, and lead to loss of revenues, credibility and customers. With this comes the need for data quality management. In contrast to traditional data management tasks, data quality management enables the detection and correction of errors in the data, syntactic or semantic, in order to improve the quality of the data and hence, add value to business processes.
  table of contents: 1. Data quality: an overview -- 1.1 Data quality management -- 1.2 Central issues of data quality -- 1.2.1 Data consistency -- 1.2.2 Data deduplication -- 1.2.3 Data accuracy -- 1.2.4 Information completeness -- 1.2.5 Data currency -- 1.2.6 Interactions between data quality issues -- 1.3 Improving data quality using rules -- 1.4 Background -- Bibliographic notes --
  table of contents: 2. Conditional dependencies -- 2.1 Conditional dependencies -- 2.1.1 Conditional functional dependencies -- 2.1.2 Conditional inclusion dependencies -- 2.2 Static analyses of conditional dependencies -- 2.2.1 Satisfiability -- 2.2.2 Implication -- 2.2.3 Finite axiomatizability -- 2.2.4 Dependency propagation -- Bibliographic notes --
  table of contents: 3. Cleaning data with conditional dependencies -- 3.1 Discovering conditional dependencies -- 3.1.1 The CFD discovery problem -- 3.1.2 Discovering constant CFDs -- 3.1.3 Discovering general CFDs -- 3.2 Error detection -- 3.2.1 Checking a single CFD with SQL -- 3.2.2 Validating multiple CFDs -- 3.3 Data repairing -- 3.3.1 The data repairing problem -- 3.3.2 Repairing violations of CFDs and CINDs -- Bibliographic notes --
  table of contents: 4. Data deduplication -- 4.1 Data deduplication: an overview -- 4.2 Matching dependencies -- 4.3 Reasoning about matching dependencies -- 4.4 Relative keys for record matching -- 4.5 Matching dependencies for data repairing -- Bibliographic notes --
  table of contents: 5. Information completeness -- 5.1 Relative information completeness -- 5.1.1 Partially closed databases -- 5.1.2 A model for relative information completeness -- 5.1.3 Relative completeness and data consistency -- 5.2 Determining relative completeness -- 5.3 Representation systems for possible worlds -- 5.4 Capturing missing tuples and missing values -- 5.5 The complexity of fundamental problems -- Bibliographic notes --
  table of contents: 6. Data currency -- 6.1 Data currency: an overview -- 6.2 A data currency model -- 6.3 Reasoning about data currency -- 6.4 Incorporating copy functions -- 6.4.1 The data currency model revisited -- 6.4.2 Currency preserving copy functions -- 6.5 Determining currency preservation -- Bibliographic notes --
  table of contents: 7. Interactions between data quality issues -- 7.1 Finding certain fixes -- 7.1.1 Certain fixes: an introduction -- 7.1.2 Editing rules -- 7.1.3 Certain fixes and certain regions -- 7.1.4 A framework for finding certain fixes -- 7.1.5 Fundamental problems for certain fixes -- 7.2 Unifying data repairing and record matching -- 7.2.1 Interaction of CFDs and MDs: an introduction -- 7.2.2 The data cleaning problem and cleaning rules -- 7.2.3 A framework for data cleaning -- 7.2.4 Static analyses of data cleaning with CFDs and MDs -- 7.3 Resolving conflicts -- 7.3.1 Conflict resolution: an overview -- 7.3.2 A model for conflict resolution -- 7.3.3 A framework for conflict resolution -- 7.3.4 Fundamental problems for conflict resolution -- 7.4 Putting things together -- Bibliographic notes --
  table of contents: List of symbols -- Bibliography -- Authors' biographies.
  target audience: specialized
  note: Wenfei Fan, Floris Geerts.
  note: Electronic resource.
  note: Includes bibliographical references (pages 179-199).
  subject:
    topic: Databases
    topic: Quality control
  subject:
    topic: Database management
  subject:
    topic: COMPUTERS / Programming Languages / SQL
  subject:
    topic: data quality
  subject:
    topic: data consistency
  subject:
    topic: data deduplication
  subject:
    topic: data accuracy
  subject:
    topic: information completeness
  subject:
    topic: data currency
  subject:
    topic: data dependencies
  subject:
    topic: dependency discovery
  subject:
    topic: rule validation
  subject:
    topic: error detection
  subject:
    topic: data repairing
  subject:
    topic: master data
  subject:
    topic: certain fixes
  classification: QA76.9.D3 F254 2012
  classification: 005.7565
  related item:
    title info:
      title: Foundations of data quality management
    name:
      name part: Fan, Wenfei.
    origin info:
      publisher: San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool, c2012
  related item:
    title info:
      title: Synthesis lectures on data management ; #30
  identifier: 9781608457786 (electronic bk.)
  identifier: 1608457788 (electronic bk.)
  identifier: 9781608457779 (pbk.)
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: CaBNvSL
    record creation date: 120817
    record change date: 20190404202445.0
    record identifier: in00003338084