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 :
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