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
Link To Document