By Sallam Osman Fageeri, Rohiza Ahmad, Baharum Baharum (auth.), Tutut Herawan, Mustafa Mat Deris, Jemal Abawajy (eds.)
ISBN-10: 9814585173
ISBN-13: 9789814585170
ISBN-10: 9814585181
ISBN-13: 9789814585187
The continuing is a suite of study papers provided on the foreign convention on info Engineering 2013 (DaEng-2013), a convention devoted to handle the demanding situations within the components of database, details retrieval, info mining and information administration, thereby proposing a consolidated view to the researchers within the aforesaid fields. The target of this convention was once to collect researchers and practitioners from academia and to target complex on facts engineering thoughts and setting up new collaborations in those components. the themes of curiosity are as follows yet are usually not restricted to:
• Database theory
• info management
• facts mining and warehousing
• info privateness & security
• details retrieval, integration and visualization
• details system
• wisdom discovery in databases
• cellular, grid and cloud computing
• Knowledge-based
• wisdom management
• net info, companies and intelligence
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13. : Improving Efficiency of Apriori Algorithm Using Transaction Reduction. International Journal of Scientific and Research Publications, vol. 3, no. 1, pp. 1–4. (2013). 14. : A Dynamic Improved Apriori Algorithm and its Experiments in Web Log Mining. In: 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, pp. 1261–1264. IEEE (2012). 15. : Discovery of Frequent Patterns from Web Log Data by using FP-Growth algorithm for Web Usage Mining. International Journal of Advanced Research in Computer Science and Software Engineering, vol.
However, both methods work accurately the same. 4 User Interface For the convenient of users, an interface was developed for the system. The interface has three main functions for the users to interact with. The functions are for importing the Excel file, normalizing the data and creating SQL code. In case some users may have limited knowledge in database, the system also provides a HELP button which displays various steps for users to follow when identifying functional dependency. 5 Testing The developed system was tested for validation.
8. : Fast Algorithms for Mining Association Rules. In: Proc. 20th Int. Conf. Very Large Data Bases (VLDB), vol. 1215, pp. 1–32 (1994). 9. Wahab, M. H. , Mohd, M. N. , Hanafi, H. , & Mohsin, M. F. M. : Data Preprocessing on Web Server Logs for Generalized Association Rules Mining Algorithm. World Academy of Science, Engineering and Technology, vol. 48 (2008). 10. Suneetha, K. : Identifying User Behavior by Analyzing Web Server Access Log File. IJCSNS International Journal of Computer Science and Network Security, vol.
Proceedings of the First International Conference on Advanced Data and Information Engineering (DaEng-2013) by Sallam Osman Fageeri, Rohiza Ahmad, Baharum Baharum (auth.), Tutut Herawan, Mustafa Mat Deris, Jemal Abawajy (eds.)
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