DocumentCode :
699058
Title :
Comparing Data Mining Techniques for Mining Patents
Author :
Mattas, Nisha ; Smarika ; Mehrotra, Deepti
Author_Institution :
ASET Amity Univ., India
fYear :
2015
fDate :
21-22 Feb. 2015
Firstpage :
217
Lastpage :
221
Abstract :
Today is the world of knowledge economy. The business unit which believes in creating new innovations and implementing this technology in their organization as it always provides an edge over traditional working. Patents are used for preserving this knowledge. A large number of patents are filed every day. Identifying the best patent as per business need and extracting relevant knowledge from patients will help organizations to enhance their business. There are many technologies of data mining that can be suitably used for this purpose. This paper compares the key features of different techniques used for mining hidden patterns from patents.
Keywords :
data mining; patents; data mining techniques; hidden patterns mining; knowledge economy; patents mining; Databases; Market research; Organizations; Patents; Semantics; Text mining; Natural language Processing; Text Mining Techniques; Virtualisation; patent Analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computing & Communication Technologies (ACCT), 2015 Fifth International Conference on
Conference_Location :
Haryana
Print_ISBN :
978-1-4799-8487-9
Type :
conf
DOI :
10.1109/ACCT.2015.119
Filename :
7079082
Link To Document :
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