Inverted index search in data mining(Conference Paper)
- aFaculty of Technical Science Kosovska Mitrovica, University of Pristina, Kneza Miloša 7, Pristina, 38220, Serbia
- bFaculty of Informatics and Computing, Singidunum University, Danijelova 32, Belgrade, 11000, Serbia
Abstract
Data mining has its origins in various disciplines. Two most important data mining disciplines are statistics and machine learning. Data mining is a proceb 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 proceb. 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. © 2014 IEEE.
Indexed keywords
| Engineering controlled terms: | ApplicationsIndexing (of information)Learning systems |
|---|---|
| Engineering uncontrolled terms | Inverted index structuresInverted indicesLarge amounts of dataLuceneOpen-source librariesText search |
| Engineering main heading: | Data mining |
- ISBN: 978-147996190-0
- Source Type: Conference Proceeding
- Original language: English
- DOI: 10.1109/TELFOR.2014.7034561
- Document Type: Conference Paper
- Sponsors: ERICSSON - Belgrade,et al.,International Business Machines d.o.o. (IBM) - Belgrade,IRITEL a.d. BEOGRAD,Ministry of Education, Science and Technological Development,University of Belgrade, ETF - School of Electrical Engineering
- Publisher: Institute of Electrical and Electronics Engineers Inc.
Ilic, M.; Faculty of Technical Science Kosovska Mitrovica, University of Pristina, Kneza Miloša 7, Pristina, Serbia;
© Copyright 2023 Elsevier B.V., All rights reserved.
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