IR @ Goa University
A quick algorithm for incremental mining closed frequent itemsets over data streams
Login
IR Home
→
Business, Commerce, Economics & Computer Sciences
→
Goa Business School
→
View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.
A quick algorithm for incremental mining closed frequent itemsets over data streams
Naik, S.B.
;
Pawar, J.D.
Source :
Proc. 2. ACM IKDD Conference on Data Sciences (CoDS '15). ACM. 2015; 126-127.
URI:
http://dx.doi.org/10.1145/2732587.2732611
http://irgu.unigoa.ac.in/drs/handle/unigoa/4096
Date:
2015
Document Type:
Conference article
Abstract:
An efficient algorithm QMINE to find closed frequent itemsets over a data stream is proposed. Our approach performs a few operations. Experiments have shown that our approach outperforms the previous approaches, significantly.
Show full item record
Files in this item
Name:
CoDS-15_ACM-2015_ ...
Size:
671.0Kb
Format:
PDF
View/
Open
This item appears in the following Collection(s)
Goa Business School
[980]
Search IR
Search IR
This Collection
Advanced Search
Browse
All of IR
Communities & Collections
By Issue Date
Authors
Titles
Subjects
This Collection
By Issue Date
Authors
Titles
Subjects
My Account
Login
Register