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 and data visualization
  name:
    name part: Rao, C. Radhakrishna (Calyampudi Radhakrishna)
    name part: 1920-
    role:
      role term: editor.
  name:
    name part: Wegman, Edward J.
    name part: 1943-
    role:
      role term: editor.
  name:
    name part: Solka, Jeffrey L.
    name part: 1955-
    role:
      role term: editor.
  name:
    name part: ScienceDirect (Online service)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: ne
    place:
      place term: Amsterdam
    place:
      place term: San Diego, CA
    publisher: Elsevier North Holland
    date issued: 2005
    edition: 1st ed.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xiv, 643 pages) : illustrations (some color), maps.
  abstract: This book focuses on dealing with large-scale data, a field commonly referred to as data mining. The book is divided into three sections. The first deals with an introduction to statistical aspects of data mining and machine learning and includes applications to text analysis, computer intrusion detection, and hiding of information in digital files. The second section focuses on a variety of statistical methodologies that have proven to be effective in data mining applications. These include clustering, classification, multivariate density estimation, tree-based methods, pattern recognition, outlier detection, genetic algorithms, and dimensionality reduction. The third section focuses on data visualization and covers issues of visualization of high-dimensional data, novel graphical techniques with a focus on human factors, interactive graphics, and data visualization using virtual reality. This book represents a thorough cross section of internationally renowned thinkers who are inventing methods for dealing with a new data paradigm. Key Features: - Distinguished contributors who are international experts in aspects of data mining - Includes data mining approaches to non-numerical data mining including text data, Internet traffic data, and geographic data - Highly topical discussions reflecting current thinking on contemporary technical issues, e.g. streaming data - Discusses taxonomy of dataset sizes, computational complexity, and scalability usually ignored in most discussions - Thorough discussion of data visualization issues blending statistical, human factors, and computational insights Distinguished contributors who are international experts in aspects of data mining Includes data mining approaches to non-numerical data mining including text data, Internet traffic data, and geographic data Highly topical discussions reflecting current thinking on contemporary technical issues, e.g. streaming data Discusses taxonomy of dataset sizes, computational complexity, a…
  table of contents: Cover -- front cover -- copyright -- Table of contents -- Preface -- Contributors -- 1. Statistical Data Mining -- Introduction 1 -- Computational complexity -- The computer science roots of data mining -- Data preparation -- Databases -- Statistical methods for data mining -- Visual data mining -- Streaming data -- A final word -- Acknowledgements 1 -- References 1 -- 2. From Data Mining to Knowledge Mining -- Introduction 2 -- Knowledge generation operators -- Discovering rules and patterns via AQ learning -- Types of problems in learning from examples -- Clustering of entities into conceptually meaningful categories -- Automated improvement of the search space: constructive induction -- Reducing the amount of data: selecting representative examples -- Integrating qualitative and quantitative methods of numerical discovery -- Predicting processes qualitatively -- Knowledge improvement via incremental learning -- Summarizing the logical data analysis approach -- Strong patterns vs. complete and consistent rules -- Ruleset visualization via concept association graphs -- Integration of knowledge generation operators -- Summary 2 -- Acknowledgements 2 -- References 2 -- 3. Mining Computer Securitycomputer security Data -- Introduction 3 -- Basic TCP/IP -- Overview of networking -- The threat -- Probes and scans -- Denial of service attacks -- Gaining access -- Network monitoring -- TCP sessions -- Signatures versus anomalies -- User profiling -- Program profiling -- Conclusions 3 -- References 3 -- 4. Data Mining of Text Files -- 4. Introduction and background -- Natural language processing at the word and sentence level -- Hidden Markov models -- Probabilistic context-free grammars -- Word sense disambiguation -- Approaches beyond the word and sentence level -- Information retrieval -- Other approaches -- Summary 4 -- References 4 -- 5. Text Data Mining with Minimal Spanning Trees -- Introduction 5 -- Approach -- Results 5 -- Datasets -- Feature extraction -- Automat…
  target audience: specialized
  note: edited by C.R. Rao, E.J. Wegman, J.L. Solka.
  note: Includes bibliographical references and index.
  subject:
    topic: Data mining
  subject:
    topic: Data mining
    topic: Statistical methods
  subject:
    topic: Data Mining
  subject:
    topic: Exploration de données (Informatique)
  subject:
    topic: Exploration de données (Informatique)
    topic: Méthodes statistiques
  subject:
    topic: COMPUTERS
    topic: Desktop Applications
    topic: Databases
  subject:
    topic: COMPUTERS
    topic: Database Management
    topic: General
  subject:
    topic: COMPUTERS
    topic: System Administration
    topic: Storage & Retrieval
  subject:
    topic: Data mining
    topic: Statistical methods
  subject:
    topic: Data mining
  subject:
    topic: Statistiek
  subject:
    topic: Data mining
  subject:
    topic: Exploration de données
  subject:
    topic: Méthode statistique
  subject:
    topic: Visualisation
  classification: QA76.9.D343 D3814 2005eb
  classification: 005.74
  related item:
    title info:
      title: Data mining and data visualization
    origin info:
      publisher: Amsterdam ; San Diego, CA : Elsevier North Holland, 2005
      edition: 1st ed.
    identifier: (OCoLC)57431164
  related item:
    title info:
      title: Handbook of statistics (Amsterdam, Netherlands) ; v. 24
  identifier: 0080459404
  identifier: 9780080459400
  identifier: 9780444511416
  identifier: 0444511415
  identifier: 112351:112439 Elsevier Science & Technology
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: N$T
    record creation date: 061221
    record change date: 20260326145021.2
    record identifier: in00005730255
    language of cataloging:
      language term: eng