Next Generation Business Intelligence Techniques in the Concept of Web Engineering of Data Mining

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. Keyword Business Intelligence, Web mining, Geo-Tracking, Text Mining, Pattern Analysis