DocumentCode :
3592101
Title :
Business Intelligence & Geo Tracking - A Novel Mining Technique to Identify Alerts and Pattern Analysis
Author :
Kamal, M. Vijaya ; Vasumathi, D.
Author_Institution :
Univ. of Pet. & Energy Studies, Dehradun, India
fYear :
2014
Firstpage :
53
Lastpage :
57
Abstract :
Web mining plays vital role in day-to-day applications to improve intelligence of web in the context of business must be able to identify useful business intelligence. To achieve our model in web engineering, we are using mining techniques for next generation business intelligence development. In this research our approach identifies the weblogs error reports using comprehensive algorithms, applies the mining techniques to detect noisy and integrates the different models, finally our information patterns satisfies the need of client inputs. For web engineering retrieval system, list of web log bugs and web architecture, the system uses mining techniques to explore valuable web data patterns in order to meet better projects inputs and higher quality web systems that delivered on time. Our research uses association and machine learning applied to web architecture model pertaining to source code mining implementation tools improves software debugging business rules for novel projects and also presents strategies for efficient study text, graph mining. Presents the Geo Tracking system to identify messages from terrorist or threat persons and also from hackers detects the negative rates and improves the high positive which increases the quality of Government Private and Public sectors.
Keywords :
Web sites; competitive intelligence; data integration; data mining; government data processing; information retrieval; learning (artificial intelligence); program debugging; source code (software); terrorism; Web architecture; Web architecture model; Web data patterns; Web engineering retrieval; Web logs error reports; Web mining; business intelligence development; client inputs; geo tracking system; government private sectors; government public sectors; graph mining; hackers; information pattern; machine learning; software debugging business rules; source code mining implementation tools; terrorist; Business; Databases; Text mining; Web mining; Web pages; Business Intelligence; Geo-Tracking; Pattern Analysis; Text Mining; Web mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational and Business Intelligence (ISCBI), 2014 2nd International Symposium on
Print_ISBN :
978-1-4799-7551-8
Type :
conf
DOI :
10.1109/ISCBI.2014.19
Filename :
7119533
Link To Document :
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