Mémoires de Fin d’Etudes
Etablissement
Université de Sidi Bel Abbès - Djillali Liabes
Affiliation
Département d’Informatique
Auteur
Driff, Aboubekeur Seddik
Directeur de thèse
ELBERRICHI Zakaria (Maitre de conférence)
Filière
Informatique
Diplôme
Doctorat
Titre
Towards Data Quality and Data Mining
Mots clés
Data quality, Data assessment, Data Mining, Data quality measures, improvement Data quality, statistical methods, Data quality dimension
Résumé
It should be obvious why data quality is important. Data is the driver of business decisions, actions and transactions. Data is used for all aspects of business – sales, marketing, production, support, finance and legal to name just a few. Historical data is used to make decisions that affect the future success of the organization. Thus regarding to use of correct information in many applications, data quality measurement is very important. Nowadays, many statistical methods for improving the quality of data have been proposed. The major problem of statistical methods is to lack of using data nature to measure the quality. Data mining is another method for measuring the quality of data. The purpose of using Data mining algorithms is to extract some knowledge in order to detect, quantify, explain and correct data quality deficiencies in very large databases. However, quality data is necessary for different data mining techniques and reversely. So, We intend to address the two important interrelated issues: how quality data is useful for data mining and how data mining is used to measure the quality data.
Statut
Validé