Title :
Comparing Data Mining Techniques for Mining Patents
Author :
Mattas, Nisha ; Smarika ; Mehrotra, Deepti
Author_Institution :
ASET Amity Univ., India
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;
Conference_Titel :
Advanced Computing & Communication Technologies (ACCT), 2015 Fifth International Conference on
Conference_Location :
Haryana
Print_ISBN :
978-1-4799-8487-9
DOI :
10.1109/ACCT.2015.119