• DocumentCode
    261822
  • Title

    Inverted index search in data mining

  • Author

    Ilic, Milos ; Spalevic, Petar ; Veinovic, Mladen

  • Author_Institution
    Fac. of Tech. Sci. Kosovska Mitrovica, Univ. of Pristina, Kosovska Mitrovica, Serbia
  • fYear
    2014
  • fDate
    25-27 Nov. 2014
  • Firstpage
    943
  • Lastpage
    946
  • Abstract
    Data mining has its origins in various disciplines. Two most important data mining disciplines are statistics and machine learning. Data mining is a process of finding new, useful knowledge from data using different techniques. These techniques provide faster and better search for large amounts of data. Inverted index is structure that can be used in data mining process. That is a sorted list of words, with the list of corresponding documents attached to each word. Authors explored inverted index structure for a big corpus of documents. For that purpose, authors created application that use inverted index structure. Application uses open source library named Lucene.
  • Keywords
    data mining; indexing; learning (artificial intelligence); open systems; text analysis; Lucene; data mining process; document corpus; inverted index search; inverted index structure; machine learning; open source library; Computers; Data mining; Dictionaries; Indexing; Memory management; Application; Data Mining; Inverted Index; Lucene; Text Search;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Telecommunications Forum Telfor (TELFOR), 2014 22nd
  • Conference_Location
    Belgrade
  • Print_ISBN
    978-1-4799-6190-0
  • Type

    conf

  • DOI
    10.1109/TELFOR.2014.7034561
  • Filename
    7034561