Proceedings of the First International Conference on by Sallam Osman Fageeri, Rohiza Ahmad, Baharum Baharum (auth.),

By Sallam Osman Fageeri, Rohiza Ahmad, Baharum Baharum (auth.), Tutut Herawan, Mustafa Mat Deris, Jemal Abawajy (eds.)

The continuing is a set of study papers provided on the foreign convention on facts Engineering 2013 (DaEng-2013), a convention devoted to tackle the demanding situations within the parts of database, details retrieval, info mining and data administration, thereby providing a consolidated view to the researchers within the aforesaid fields. The objective of this convention used to be to assemble researchers and practitioners from academia and to target complex on information engineering strategies and setting up new collaborations in those components. the themes of curiosity are as follows yet will not be constrained to:
• Database theory
• information 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, prone and intelligence

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Second, matching is performed by introducing the canonical link as the foreign key, which matches database records. Model for Automatic Textual Data Clustering 33 In [5], another method for extracting and storing structured information into a table is introduced. The table can be used for keyword search. In addition, three operators, namely, extract, cluster, and integrate, are presented. These operators can be used by the database administrator to manage extracted information. All the aforementioned methods focus on dealing with unstructured data in the same database schema.

9 Notes: Acc: Accuracy, Sen: Sensitivity, Spe: Specificity, Pre : Precision, Os: Oversampling, Us: Undersampling, Bagg: Bagging, Boost: Boosting An Application of Oversampling, Undersampling 21 5 Conclusion Sampling approaches are much easier to implement for improving prediction of the minority case of a two-class classification problem. The random undersampling advantage is that all the minority cases are maintained as replication of minority case in oversampling will cause overfitting since it makes duplicates copy of the existing data.

Basically, the prototype is able to import and process both versions of Excel file – 2003 and 2007 version into the system. It is also 30 Rohiza Ahmad et al. able to automatically normalize the data up to 3NF by minimizing data redundancy and update anomaly. The system is also capable of creating SQL file which will be used to create database in phpMyAdmin. As for future enhancement, even though the system has been completely developed according to its scope and objectives, there are also certain additional features that can be enhanced.

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