DocumentCode :
713053
Title :
Text mining: Challenges and future directions
Author :
Akilan, A.
Author_Institution :
Dept. of Inf. Technol., Annai Coll. of Arts & Sci., Kumbakonam, India
fYear :
2015
fDate :
26-27 Feb. 2015
Firstpage :
1679
Lastpage :
1684
Abstract :
In today´s world, the amount of stored information has been enormously increasing day by day which is generally in the unstructured form and cannot be used for any processing to extract useful information, so several techniques such as summarization, classification, clustering, information extraction and visualization are available for the same which comes under the category of text mining. Text Mining can be defined as a technique which is used to extract interesting information or knowledge from the text documents. Text mining, also known as text data mining or knowledge discovery from textual databases, refers to the process of extracting interesting and non-trivial patterns or knowledge from text documents. Regarded by many as the next wave of knowledge discovery, text mining has very high commercial values.
Keywords :
data mining; document handling; pattern classification; pattern clustering; classification; clustering; information extraction; information visualization; knowledge discovery; summarization; text data mining; text documents; textual databases; Databases; Information retrieval; Internet; Knowledge discovery; Semantics; Text mining; Text mining; data mining; knowledge discovery;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics and Communication Systems (ICECS), 2015 2nd International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4799-7224-1
Type :
conf
DOI :
10.1109/ECS.2015.7124872
Filename :
7124872
Link To Document :
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